A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation | Paper Citation Record

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This paper cites 2019 Evolutionary Algorithms Review.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation 2019 Evolutionary Algorithms Review

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This paper cites Evolutionary algorithms and their applications to engineering problems,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Evolutionary algorithms and their applications to engineering problems,

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This paper cites The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics,

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This paper cites Multi -objective topology optimization using evolutionary algorithms,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Multi -objective topology optimization using evolutionary algorithms,

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This paper cites Evolutionary deep learning: a survey,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Evolutionary deep learning: a survey,

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This paper cites Learning-aided evolution for optimization,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Learning-aided evolution for optimization,

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This paper cites DNA sequence design under many objective evolutionary algorithm,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation DNA sequence design under many objective evolutionary algorithm,

Reference 7

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This paper cites Protein structure prediction using a new optimization -based evolutionary and explainable artificial intelligence approach,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Protein structure prediction using a new optimization -based evolutionary and explainable artificial intelligence approach,

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This paper cites Memory-based ant colony system approach for multi -source data associated dynamic electric vehicle dispatch optimization,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Memory-based ant colony system approach for multi -source data associated dynamic electric vehicle dispatch optimization,

Reference 9

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A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation A genetic approach to portfolio selection,

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This paper cites Multi-objective heuristic algorithms for practical portfolio optimization and rebalancing with transaction cost ,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Multi-objective heuristic algorithms for practical portfolio optimization and rebalancing with transaction cost ,

Reference 11

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This paper cites An inexact two -stage stochastic programming model for water resources management under uncertainty,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation An inexact two -stage stochastic programming model for water resources management under uncertainty,

Reference 12

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This paper cites Multi -objective optimization of a hybrid renewable energy systems supplying a residential building using NSGA- II and MOPSO algorithms,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Multi -objective optimization of a hybrid renewable energy systems supplying a residential building using NSGA- II and MOPSO algorithms,

Reference 13

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This paper cites Computing high-quality solutions for the patient admission scheduling problem using evolutionary diversity optimisation,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Computing high-quality solutions for the patient admission scheduling problem using evolutionary diversity optimisation,

Reference 14

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This paper cites Working principles of binary differential evolution,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Working principles of binary differential evolution,

Reference 15

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This paper cites On the choice of the update strength in estimation-of-distribution algorithms and ant colony optimization,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation On the choice of the update strength in estimation-of-distribution algorithms and ant colony optimization,

Reference 16

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This paper cites Adaptive drift analysis,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Adaptive drift analysis,

Reference 17

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This paper cites Optimizing linear functions with the (1+λ) evolutionary algorithm —Different asymptotic runtimes for different instances,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Optimizing linear functions with the (1+λ) evolutionary algorithm —Different asymptotic runtimes for different instances,

Reference 18

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This paper cites Runtime analysis for self -adaptive mutation rates,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Runtime analysis for self -adaptive mutation rates,

Reference 19

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This paper cites Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics,

Reference 20

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This paper cites Drift analysis and average time complexity of evolutionary algorithms,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Drift analysis and average time complexity of evolutionary algorithms,

Reference 21

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This paper cites On convergence analysis of particle swarm optimization algorithm,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation On convergence analysis of particle swarm optimization algorithm,

Reference 22

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This paper cites The global convergence analysis of particle swarm optimization algorithm based on Markov chain,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation The global convergence analysis of particle swarm optimization algorithm based on Markov chain,

Reference 23

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This paper cites The particle swarm -explosion, stability, convergence in a multidimensional complex space,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation The particle swarm -explosion, stability, convergence in a multidimensional complex space,

Reference 24

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This paper cites The particle swarm optimization algorithm: convergence analysis and parameter selection,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation The particle swarm optimization algorithm: convergence analysis and parameter selection,

Reference 25

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This paper cites An analysis of particle swarm optimization,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation An analysis of particle swarm optimization,

Reference 26

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This paper cites The convergence basis of particle swarm optimization,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation The convergence basis of particle swarm optimization,

Reference 27

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This paper cites Order-2 stability analysis of particle swarm optimization,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Order-2 stability analysis of particle swarm optimization,

Reference 28

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This paper cites Order -3 stability analysis of particle swarm optimization,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Order -3 stability analysis of particle swarm optimization,

Reference 29

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This paper cites Stability analysis of the particle dynamics in particle swarm optimizer,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Stability analysis of the particle dynamics in particle swarm optimizer,

Reference 30

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This paper cites Stochastic analysis of the particle dynamics in the PSO algorithm,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Stochastic analysis of the particle dynamics in the PSO algorithm,

Reference 31

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This paper cites On the asymptotic convergence of differential evolution in continuous spaces: a control theoretic approach,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation On the asymptotic convergence of differential evolution in continuous spaces: a control theoretic approach,

Reference 32

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This paper cites Parameter analysis based on stochastic model for differential evolution algorithm,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Parameter analysis based on stochastic model for differential evolution algorithm,

Reference 33

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Observation b6ddefce-3fb0-40e8-84d1-99d1d0fad418 · outbound

This paper cites On stability and convergence of the population -dynamics in differential evolution,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation On stability and convergence of the population -dynamics in differential evolution,

Reference 34

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This paper cites Minimization by random search techniques,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Minimization by random search techniques,

Reference 35

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Observation 0a400e04-06c0-4e5a-ac42-f74173d12ea4 · outbound

This paper cites Convergence of evolutionary algorithms in general search spaces,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Convergence of evolutionary algorithms in general search spaces,

Reference 36

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This paper cites A convergence proof for the particle swarm optimizer,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation A convergence proof for the particle swarm optimizer,

Reference 37

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This paper cites Markov model and convergence analysis based on firefly algorithm,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Markov model and convergence analysis based on firefly algorithm,

Reference 38

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Observation a9bcf78f-cf97-4218-b081-481be7098e1e · outbound

This paper cites Artificial rabbit optimization: A new bio -inspired meta -heuristic algorithm for solving engineering optimization problems,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Artificial rabbit optimization: A new bio -inspired meta -heuristic algorithm for solving engineering optimization problems,

Reference 39

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Observation 407fc94a-5cfd-4a97-9493-a37f1c6068aa · outbound

This paper cites A partition -based convergence framework for population-based optimization algorithms,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation A partition -based convergence framework for population-based optimization algorithms,

Reference 40

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Observation 3b7bd5a8-aac7-4259-93e0-b014e42d6f2e · outbound

This paper cites Convergence analysis of butterfly optimization algorithm,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Convergence analysis of butterfly optimization algorithm,

Reference 41

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Observation a873b04c-f606-4214-8de0-bbc6ab320525 · outbound

This paper cites Global convergence analysis of grey wolf optimization algorithm based on martingale theory ,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Global convergence analysis of grey wolf optimization algorithm based on martingale theory ,

Reference 42

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Observation a1957357-c037-4f62-8545-c07068895d2e · outbound

This paper cites Research on convergence of grey wolf optimization algorithm based on Markov chain,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Research on convergence of grey wolf optimization algorithm based on Markov chain,

Reference 43

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Observation 60d70647-8b57-4711-97f4-db7179e4a7e0 · outbound

This paper cites Research on the A.S. convergence properties of basic ant colony algorithm,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Research on the A.S. convergence properties of basic ant colony algorithm,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:46:08.660778Z

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Observation adf0775f-44fd-4c89-bc8a-a2305121b607 · outbound

This paper cites Gene targeting differential evolution: a simple and efficient method for large scale optimization,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Gene targeting differential evolution: a simple and efficient method for large scale optimization,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:46:08.650194Z

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Observation 8122edc3-948d-49ab-91ed-dfcfea63802a · outbound

This paper cites Gene targeting particle swarm optimization for large - scale optimization problem,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Gene targeting particle swarm optimization for large - scale optimization problem,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:46:08.639442Z

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Observation e85cd9fe-7e8b-45c9-81f2-dc2c248d0174 · outbound

This paper cites Empirical study of particle swarm optimization,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Empirical study of particle swarm optimization,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:46:08.628811Z

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Observation 8cac1428-c6c0-438b-82ad-57c5488634ca · outbound

This paper cites A Markov chain analysis on simple genetic algorithms,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation A Markov chain analysis on simple genetic algorithms,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:46:08.618381Z

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Observation 0d32e0f8-f7ef-4bc5-87f0-daf2c7b670a5 · outbound

This paper cites On the convergence rates of genetic algorithms,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation On the convergence rates of genetic algorithms,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:46:08.608479Z

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Observation 756d935a-6be6-46c8-ab36-cf7f5d51c5ff · outbound

This paper cites An improved differential evolution with a novel restart mechanism,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation An improved differential evolution with a novel restart mechanism,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:46:08.598213Z

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Observation 1c70434e-6cb6-4de1-aeef-a8801757ef13 · outbound

This paper cites Adaptive differential evolution algorithm based on restart mechanism and direction information,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Adaptive differential evolution algorithm based on restart mechanism and direction information,

Reference 51

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Observation 36d6bbcd-2185-483d-baf3-cd6c8e260fbb · outbound

This paper cites An adaptative differential evolution with enhanced diversity and restart mechanism,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation An adaptative differential evolution with enhanced diversity and restart mechanism,

Reference 52

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This paper cites An improved self -adaptive differential evolution algorithm in single objective constrained real - parameter optimization,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation An improved self -adaptive differential evolution algorithm in single objective constrained real - parameter optimization,

Reference 53

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This paper cites The multi-start mayfly optimization algorithm,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation The multi-start mayfly optimization algorithm,

Reference 54

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This paper cites Differential evolution –a simple and efficient heuristic for global optimization over continuous spaces,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Differential evolution –a simple and efficient heuristic for global optimization over continuous spaces,

Reference 55

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This paper cites Particle swarm optimization,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation Particle swarm optimization,

Reference 56

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This paper cites A social learning particle swarm optimization algorithm for scalable optimization,.

A New Scope and Domain Measure Comparison Method for Global Convergence Analysis in Evolutionary Computation A social learning particle swarm optimization algorithm for scalable optimization,

Reference 57

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