Non-elitist evolutionary algorithms excel in fitness landscapes with sparse deceptive regions and dense valleys
Author:
Affiliation:
1. University of Southampton, Southampton, United Kingdom
2. Sobolev Institute of Mathematics, Moscow, Russia
3. University of Birmingham, Birmingham, United Kingdom
Funder
EPSRC
Russian Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3449639.3459398
Reference37 articles.
1. The error threshold
2. Self-Adaptation in Nonelitist Evolutionary Algorithms on Discrete Problems With Unknown Structure
3. Level-Based Analysis of Genetic Algorithms and Other Search Processes
4. Escaping Local Optima with Diversity Mechanisms and Crossover
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