A New Efficient Entropy Population-Merging Parallel Model for Evolutionary Algorithms-Reference-Cited by-同舟云学术

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A New Efficient Entropy Population-Merging Parallel Model for Evolutionary Algorithms

Published:2017 Issue:1 Volume:10 Page:1186
ISSN:1875-6883
Container-title:International Journal of Computational Intelligence Systems
language:en
Short-container-title:IJCIS

Author:

Arellano-Verdejo Javier,Godoy-Calderon Salvador,Alonso-Pecina Federico,Guzmán Arenas Adolfo,Cruz-Chavez Marco Antonio

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,General Computer Science

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Employing topology modification strategies in scale-free IoT networks for robustness optimization;Computing;2024-03-12

2. Distributed and Asynchronous Population-Based Optimization Applied to the Optimal Design of Fuzzy Controllers;Symmetry;2023-02-09

3. Automated Graph Genetic Algorithm based Puzzle Validation for Faster Game Design;2022 IEEE Congress on Evolutionary Computation (CEC);2022-07-18

4. Parallel computational optimization in operations research: A new integrative framework, literature review and research directions;European Journal of Operational Research;2020-11

5. Scalable distributed evolutionary algorithm orchestration using Docker containers;Journal of Computational Science;2020-02

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