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Paper Citation Record · LEDGER

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization

As of 6 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2605.15729.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.15729 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T19:42:25.936821Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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  • unresolved2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation acdb478b-df6b-4156-94b7-e20a969bf0d6 · outbound

This paper cites an unresolved cited work.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Unresolved cited work

Reference 1

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unresolved
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Source-reported events for the cited work

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Observation e96b499a-fc36-4611-8577-ec6e43538cd8 · outbound

This paper cites Multi- objective optimization for resource allocation in vehicular cloud com- puting networks.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Multi- objective optimization for resource allocation in vehicular cloud com- puting networks

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 4e7d9d13-c3d7-4a76-9f14-b1afe0b5375e · outbound

This paper cites A greedy cooperative co-evolutionary algorithm with problem-specific knowledge for multiobjective flowshop group scheduling problems.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization A greedy cooperative co-evolutionary algorithm with problem-specific knowledge for multiobjective flowshop group scheduling problems

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 66987c72-a31d-4928-bdb2-b27a6b20b3ac · outbound

This paper cites An improved NSGAII for integrated container scheduling problems with two transshipment routes.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization An improved NSGAII for integrated container scheduling problems with two transshipment routes

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation acbb49c7-0a87-4583-b679-265ee9eb0333 · outbound

This paper cites Efficient minimum cost seed selection with theoretical guarantees for competitive influence maximization.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Efficient minimum cost seed selection with theoretical guarantees for competitive influence maximization

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7ac74169-ca1f-4210-b5b9-005c5b5a70cd · outbound

This paper cites A survey of automatic parameter tuning methods for metaheuristics.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization A survey of automatic parameter tuning methods for metaheuristics

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5e89eeb6-5cd6-4665-a433-7e80338cf5b7 · outbound

This paper cites Model-based genetic algorithms for algorithm configuration.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Model-based genetic algorithms for algorithm configuration

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation bc0c0398-ca82-435b-882c-a81895cc8325 · outbound

This paper cites The irace package: Iterated racing for automatic algorithm configura- tion.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization The irace package: Iterated racing for automatic algorithm configura- tion

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 9ee53ab9-4b38-4b48-8e68-9db118e26f83 · outbound

This paper cites Sequential model-based optimization for general algorithm configuration.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Sequential model-based optimization for general algorithm configuration

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 8f0bafda-dcc0-42bd-9242-ebfafb8527d9 · outbound

This paper cites On performance estimation in automatic algorithm configuration.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization On performance estimation in automatic algorithm configuration

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 50ecc435-6373-4aab-86f6-4d915327dd12 · outbound

This paper cites Automatic construction of parallel portfolios via algorithm configuration.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Automatic construction of parallel portfolios via algorithm configuration

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:606a83c996e9a4d8e1e3a3c770a7cf6416cf9d835b79a9930168ea53d21f98b6

Observation 046100d9-32fa-4fb1-92e7-1b925d02767f · outbound

This paper cites ISAC - instance-specific algorithm configuration.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization ISAC - instance-specific algorithm configuration

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation dee90b56-af65-4f4d-905e-459b654877c7 · outbound

This paper cites Hydra: Automatically configuring algorithms for portfolio-based selection.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Hydra: Automatically configuring algorithms for portfolio-based selection

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation a39d5276-0cea-4c20-a00c-3d919bb503d3 · outbound

This paper cites Automatic construction of parallel portfolios via explicit instance grouping.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Automatic construction of parallel portfolios via explicit instance grouping

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 65621a11-c84d-4566-826f-9b4be3bc2ebb · outbound

This paper cites An economics approach to hard computational problems.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization An economics approach to hard computational problems

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 56875c76-0064-40e3-a5fa-f7f50e7a70da · outbound

This paper cites Algorithm portfolios.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Algorithm portfolios

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation bc708406-d7c6-4f80-a2bc-11f6615e4713 · outbound

This paper cites an unresolved cited work.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation 948d9407-5cff-467b-912e-aa602454fcab · outbound

This paper cites Learn to optimize-a brief overview.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Learn to optimize-a brief overview

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 4fd3ea37-6056-4dd8-9377-8e631b8a6972 · outbound

This paper cites Generating new test instances by evolving in instance space.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Generating new test instances by evolving in instance space

Reference 19

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raw_fallback, observed 2026-05-19T19:42:44.202565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation e738ddea-a9ea-4f21-abc7-9b7b4b43f076 · outbound

This paper cites Few-shots parallel algorithm portfolio construction via co-evolution.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Few-shots parallel algorithm portfolio construction via co-evolution

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 9874393d-9e93-4595-a067-c783cdc4bff4 · outbound

This paper cites Generative adversarial construction of parallel portfolios.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Generative adversarial construction of parallel portfolios

Reference 21

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raw_fallback, observed 2026-05-19T19:42:44.272418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:8b26e2be653a9db9e0873d7e672bff1bf6dde2d0afba32d5da5285481caa650a

Observation ab76aee3-e44c-4084-b91f-7233fadabe5e · outbound

This paper cites ASP: learn a universal neural solver!.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization ASP: learn a universal neural solver!

Reference 22

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raw_fallback, observed 2026-05-19T19:42:44.207442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:2896921de42da7708def08b6c97d2493d63aacd6e0c94b3dd186dd983396eec4

Observation b5886c56-3647-4239-b687-1cdf0a1aa880 · outbound

This paper cites Evolving generalizable parallel algorithm portfolios for binary optimization problems via domain- agnostic instance generation.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Evolving generalizable parallel algorithm portfolios for binary optimization problems via domain- agnostic instance generation

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 00698bf6-aefd-4cee-a5b8-2307077d7b99 · outbound

This paper cites Enhanced evolution of parallel algorithm portfolio for vehicle routing problem via transfer optimization.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Enhanced evolution of parallel algorithm portfolio for vehicle routing problem via transfer optimization

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:74bb74eb01fd4d1125061c317e991837c9668329b46a0266e0cc39b97f27a62d

Observation 55d11dfb-2a26-4da4-9491-37f9fc6c3d1c · outbound

This paper cites Benchmarking moeas for multi- and many- objective optimization using an unbounded external archive.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Benchmarking moeas for multi- and many- objective optimization using an unbounded external archive

Reference 25

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raw_fallback, observed 2026-05-19T19:42:44.233676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:925146457f701df4c6c48d08823e8a39d169d36d72067165777f54ef675ab2c0

Observation 499cbcb9-a828-46fe-8aab-9b0fe6346d28 · outbound

This paper cites Comparison between MOEA/D and NSGA-III on a set of novel many and multi- objective benchmark problems with challenging difficulties.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Comparison between MOEA/D and NSGA-III on a set of novel many and multi- objective benchmark problems with challenging difficulties

Reference 26

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raw_fallback, observed 2026-05-19T19:42:44.221432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:36e13e5ba34a3f5652b913fec32bf0e3f7a75bf827ff178354e415e06c6d6fd9

Observation de8a2688-6708-4ff9-ad57-50fa8826f006 · outbound

This paper cites Performance comparison of NSGA-II and NSGA-III on various many-objective test problems.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Performance comparison of NSGA-II and NSGA-III on various many-objective test problems

Reference 27

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raw_fallback, observed 2026-05-19T19:42:44.280201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:9ab98166a01318267304e22c8c93366e0a6a24fb9c220769fc40153f10592ee5

Observation 59b59793-481b-446f-89a7-4ea80c81e320 · outbound

This paper cites Mathematical discoveries from program search with large language models.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Mathematical discoveries from program search with large language models

Reference 28

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raw_fallback, observed 2026-05-19T19:42:44.215657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:429959cbec9f3b9187807922490dc0f87b554d4d0817a2ba44a04ed9e3a69831

Observation 7fbcdb4f-3909-4f82-a375-7d6e477218e2 · outbound

This paper cites Evolution of heuristics: Towards efficient automatic algorithm design using large language model.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Evolution of heuristics: Towards efficient automatic algorithm design using large language model

Reference 29

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raw_fallback, observed 2026-05-19T19:42:44.199950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:16b789d8eaa96fd297e870fa9988f9a6e00709e4443f022ecdacdda2903dac15

Observation d1e623a9-d6de-4b58-b7fb-56ea828321f2 · outbound

This paper cites Reevo: Large language models as hyper-heuristics with reflective evolution.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Reevo: Large language models as hyper-heuristics with reflective evolution

Reference 30

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raw_fallback, observed 2026-05-19T19:42:44.276157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:3874636ec7cb0a0e011f4e28278d830b7542dff28f7492b4b7d4a8eb2ecd83e2

Observation 82ff641a-9503-4f0b-aa99-8ad5b72b190a · outbound

This paper cites LLM- driven instance-specific heuristic generation and selection.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization LLM- driven instance-specific heuristic generation and selection

Reference 31

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arxiv_id, observed 2026-05-19T19:42:44.121876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:091cdeed368bd04f807c78cc7db0b6feb314b16b30d051e491684d57e10f645d

Observation e70f9fa3-7ad1-4771-8993-c67bf83f2f3d · outbound

This paper cites Monte carlo tree search for comprehensive exploration in LLM-based automatic heuristic design.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Monte carlo tree search for comprehensive exploration in LLM-based automatic heuristic design

Reference 32

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raw_fallback, observed 2026-05-19T19:42:44.285784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:829c97ee79d14f469f20197394ae704bc79e8379a3e93f12b9d6445ddce99fa6

Observation b796b055-98ae-4b72-a9f9-d527470e2660 · outbound

This paper cites In-the-loop hyper-parameter optimization for LLM-based automated design of heuristics.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization In-the-loop hyper-parameter optimization for LLM-based automated design of heuristics

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.227826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:171e51845cf036a8a9ef7a6f578ec22a412e869af2bc14c2955febd1e50a6a18

Observation 1cf36813-7c58-43e0-9f57-17e7953682ae · outbound

This paper cites LLMOPT: learning to define and solve general optimization problems from scratch.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization LLMOPT: learning to define and solve general optimization problems from scratch

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.288258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:2e58554b2206a19823a17461ca482381ea4070c04706c8ec01d1b5edff4c1b38

Observation dfb61fb8-45bf-4daf-8626-53da5fd6add3 · outbound

This paper cites Multi-objective evolution of heuristic using large language model.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Multi-objective evolution of heuristic using large language model

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.211883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:527f09d4431c449ddf105240c8053199d9d26aef1b1795825b8e9f19e2d273f1

Observation 36985fdc-391a-4f18-8b84-0ab3c9a8055b · outbound

This paper cites Pareto-grid-guided large language models for fast and high- quality heuristics design in multi-objective combinatorial optimization.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Pareto-grid-guided large language models for fast and high- quality heuristics design in multi-objective combinatorial optimization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.262985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:125187271e4aa03c97c3c70b98099e5be1bbcafc21b3f5e394f320bde7f65967

Observation 34f11632-8b1e-4859-99b7-752010099708 · outbound

This paper cites Large language model for multiobjective evolutionary optimization.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Large language model for multiobjective evolutionary optimization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.260238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:42395a86bd1a8de4bc65d8c1159695c4b77ee03cb05b12cd7ca657eb7a554bd6

Observation 6336976e-914b-4fdb-9b88-008ebb322a72 · outbound

This paper cites Au- tonomous multi-objective optimization using large language model.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Au- tonomous multi-objective optimization using large language model

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.231693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:ba09804148d7cdc231cd5807e326a5869c470575f5df8634eaf319f74f926cb5

Observation dff8f9d9-1091-4972-9e79-0152f92e99d6 · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: NSGA-II.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization A fast and elitist multiobjective genetic algorithm: NSGA-II

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.291838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:c5da64687e9147d9e11f8b88a6df577dd91a17671a12619019967386fb6bbe91

Observation 7e2f2754-0261-4886-8f00-c0a5cd740a20 · outbound

This paper cites An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.209941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:1af43a5e6e1eb8ef6f612c1e7697b9c504d58d4a11a8703eefe384b0e5a3dab3

Observation 4cd49cbe-ea3f-415c-915e-84d23b38eeb9 · outbound

This paper cites MOEA/D: A multiobjective evolutionary algorithm based on decomposition.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization MOEA/D: A multiobjective evolutionary algorithm based on decomposition

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.219457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:fd8d9848bf3b1e66385c1115207995fe934d680c527b4470fd5e400932cee40f

Observation d9d3d243-cf7e-4d3b-b515-d74d0a18288e · outbound

This paper cites SPEA2: Improving the strength pareto evolutionary algorithm.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization SPEA2: Improving the strength pareto evolutionary algorithm

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.293837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:5c9e6b5038dbb2e7ff00a0d4035d42253e971aa10fa5ebac216eb84f1a7d2c79

Observation 1d2fd802-6547-43bc-a025-76bceacc6b73 · outbound

This paper cites Surrogate-assisted autoencoder-embedded evolutionary optimization algorithm to solve high-dimensional expensive problems.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Surrogate-assisted autoencoder-embedded evolutionary optimization algorithm to solve high-dimensional expensive problems

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.278369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:fdb164f2dceb8807a1a26b49c35e438c2525aa10da4f3641aba59e6aa3718081

Observation 3c62a36b-2419-461a-80b6-013036b5c9c3 · outbound

This paper cites Grid classification-based surrogate-assisted particle swarm optimization for expensive multiob- jective optimization.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Grid classification-based surrogate-assisted particle swarm optimization for expensive multiob- jective optimization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.282066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:39a1c63f793f13ef7d68e042715da6a42bfd3744301b7fb8133d51ab4664fb0b

Observation 462632b4-ecc7-4486-9afc-f6f1e89a06e2 · outbound

This paper cites Parameter-exploring policy gradients.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Parameter-exploring policy gradients

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.295582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:38757d87758d48a0217b93bbe7a3da4b70712177843299bf4e85194ec493919e

Observation 2275dbcb-385c-4c9e-9194-732106b97aaa · outbound

This paper cites Runtime analysis of evolutionary diversity maximization for oneminmax.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Runtime analysis of evolutionary diversity maximization for oneminmax

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.235621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:c3b9ac74112a081a879a1edc29ec08eb318a1739e6856c12b417b2ef8957fbc7

Observation 55d33290-5da3-451d-be49-cf0b30403497 · outbound

This paper cites On the performance of multiple-objective genetic local search on the 0/1 knapsack problem - a comparative experiment.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization On the performance of multiple-objective genetic local search on the 0/1 knapsack problem - a comparative experiment

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.257063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:2450f456bf545c139bedca9c8ccc284842d3d7f6e4da2ef89784f26f6434dba0

Observation 3878ec75-a980-4d11-aa88-9bf1c37357d4 · outbound

This paper cites Contamination control in food supply chain.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Contamination control in food supply chain

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.229756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:c5470b8e3d36c641fddee9f95e8384f72f8ea3382eb579951530e7dcee7a37b2

Observation 01e738ad-aafc-4e33-95b0-9c867dde16ed · outbound

This paper cites Combinatorial bayesian optimization using the graph cartesian product.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization Combinatorial bayesian optimization using the graph cartesian product

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.270651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:c46545e9d0c460cd3aa7bf2809eeeae86f9cc9db92d6a1b459fa22de44102ceb

Observation c3a20916-8c0f-45b5-834d-ed24cc1ab686 · outbound

This paper cites From competition to complementarity: Comparative influence diffusion and maximization.

General-Purpose Co-Evolutionary Construction of Parallel Algorithm Portfolios for Multi-Objective Binary Optimization From competition to complementarity: Comparative influence diffusion and maximization

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-19T19:42:44.315910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T19:42:25.936821Z digest=sha256:018728f927f4487ff7b5def17cc4fff8a78c60e13413ecdb6c08754eba5c62d8

Pith citing papers

No inbound Pith citation observations are available.