A new collaborator selection method of cooperative co-evolutionary ...
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Abstract: Cooperative Co-evolutionary Genetic Algorithm (C-CGA) is an effective way to solve complex problems like high-dimensional and multi-Objective ...
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Abstract—Cooperative Co-evolutionary Genetic Algorithm (C-. CGA) is an effective way to solve complex problems like high- dimensional and multi-Objective ...
Bibliographic details on A new collaborator selection method of cooperative co-evolutionary genetic algorithm and its application.
The methods for determining cooperation pool size, selecting cooperators and permuting cooperations are presented based on the evolutionary ability of sub- ...
The method is based on an interesting implementation of genetic operators that combines the use of deterministic and random moves. The method is implemented ...
CCA algorithms employing random selection. One hypothesis is that the CCA-1 and CCA-2 algorithms' use of the most extreme collaboration selection pressure.
Jan 25, 2017 · Instead of predefining a collaboration scheme, this model searches for the optimal collaboration of individuals using an evolutionary algorithm.
Are algorithms that apply selection methods that are inherently ... Selecting a collaboration method for a CCEA is one of the most important decisions an.
1) This paper is the first attempt to modularize CCEAs into five components, namely, problem decomposition, sub- problem optimizer, collaboration selection, ...
This is a study on the effects of multilevel selection (MLS) theory in optimizing numerical functions. Based on this theory, a Multilevel Evolutionary ...