A new moving peaks benchmark with attractors for dynamic evolutionary algorithms-Reference-Cited by-同舟云学术

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A new moving peaks benchmark with attractors for dynamic evolutionary algorithms

Published:2022-10 Issue: Volume:74 Page:101125
ISSN:2210-6502
Container-title:Swarm and Evolutionary Computation
language:en
Short-container-title:Swarm and Evolutionary Computation

Author:

Fox Matthew,Yang Shengxiang^ORCID,Caraffini Fabio^ORCID

Publisher

Elsevier BV

Subject

General Mathematics,General Computer Science

Reference52 articles.

1. An evolutionary algorithm to track changes of optimum value locations in dynamic environments;Aragón;J. Comput. Sci. Technol.,2004

2. A comparative study of evolutionary optimization techniques in dynamic environments;Ayvaz,2006

3. Swarms in dynamic environments;Blackwell,2003

4. Learning, anticipation and time-deception in evolutionary online dynamic optimization;Bosman,2005

5. Memory enhanced evolutionary algorithms for changing optimization problems;Branke,1999

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1. A Surrogate Assisted Approach for Fitness Computation in Robust Optimization over Time;Lecture Notes in Computer Science;2024

2. Choice of benchmark optimization problems does matter;Swarm and Evolutionary Computation;2023-12

3. Robust Optimization over Time Problems—Characterization and Literature Review;Electronics;2023-11-11

4. Trajectory Tracking via Multiscale Continuous Attractor Networks;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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