A survey on cooperative co-evolutionary algorithms

X Ma, X Li, Q Zhang, K Tang, Z Liang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The first cooperative co-evolutionary algorithm (CCEA) was proposed by Potter and De Jong
in 1994 and since then many CCEAs have been proposed and successfully applied to …

合作型协同演化算法研究进展

张凯波, 李斌 - 计算机工程与科学, 2014 - joces.nudt.edu.cn
合作型协同演化算法是近年来计算智能研究的热点. 它运用生物协同演化的思想,
通过构建两个或者多个种群, 建立它们之间的合作关系. 两个或多个种群通过相互合作来提高 …

Cooperative coevolutionary algorithms for dynamic optimization: an experimental study

CK Au, HF Leung - Evolutionary Intelligence, 2014 - Springer
In this paper, we study the cooperative coevolutionary algorithms (CCEAs) for dynamic
optimization. We introduce the CCEAs with two popular types of individuals:(1) random …

Investigating collaboration methods of random immigrant scheme in cooperative coevolution

CK Au, HF Leung - 2009 IEEE Congress on Evolutionary …, 2009 - ieeexplore.ieee.org
Previous study shows that using a random immigrant scheme in a cooperative
coevolutionary algorithm (RI-CCEA) can significantly track the moving peaks in dynamic …

[PDF][PDF] Técnicas de computación evolutiva aplicadas a la clasificación a partir de monitores de actividad física

M del Carmen Del, B Cerro, YS Achaerandio… - 2016 - e-archivo.uc3m.es
Hoy en día, el reconocimiento automático de actividades tiene múltiples campos de
aplicación, concretamente en el ámbito de la salud y el bienestar, esta disciplina se emplea …

[图书][B] Continuous Black-Box Optimization: Samplings and Dynamic Environments

CK Au - 2015 - search.proquest.com
Numerical optimization is one of the most active research areas and is widely used in
science, engineering, economics and industry. In numerical black box optimization, the …

[引用][C] Modele et Approches pour l'Optimisation Multi-Populations et Multi-Régions dans les Environnements Dynamiques: Applicationa la sélection d'attributs en ligne