ECLIPSE is a modular evolutionary computation framework that interfaces with domain-specific simulators to evolve optimized 3D antenna designs for directional sensitivity and spacecraft geometries for drag reduction.
Coletti, Eric O
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
Introduces a latent yield mechanism for stable adaptive algorithm switching using RL-inspired aggregation and GA island models, with experiments on sorting and robotic obstacle avoidance.
citing papers explorer
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ECLIPSE: An Evolutionary Computation Library for Instrumentation Prototyping in Scientific Engineering
ECLIPSE is a modular evolutionary computation framework that interfaces with domain-specific simulators to evolve optimized 3D antenna designs for directional sensitivity and spacecraft geometries for drag reduction.
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A Reinforcement Learning Inspired Latent Yield Based Adaptive Algorithm Switching Mechanism
Introduces a latent yield mechanism for stable adaptive algorithm switching using RL-inspired aggregation and GA island models, with experiments on sorting and robotic obstacle avoidance.