Evolutionary computation (EC)Co-evolutionary multi-population evolutionary algorithm (CMEA)Dynamic multiobjective optimization problems (DMOPs) widely appear in various real-world applications and have attracted increasing attention worldwide. However, how to obtain both good population diversity and fast ...
Bose D, Biswas S, Kundu S, Das S (2012) A strategy pool adaptive artificial bee colony algorithm for dynamic environment through multi-population approach. In: Panigrahi BK et al. (ed) Swarm, evolutionary, and memetic computing. Springer, Berlin/Heidelberg, pp 611–619 Chapter Google Scholar...
A self-organizing scout's multi-population evolutionary algorithm was proposed for the dynamic optimization problems [8]. A multi-swarm PSO algorithm was proposed by Li and Yang [9]. A clustering-based PSO was proposed by Yang and Li [10]. A multi-population HSA was proposed by Turky and...
Dynamic multiobjective optimization problems (DMOPs) require the evolutionary algorithms that can track the moving Pareto-optimal fronts efficiently. This
The algorithm hybridizes yet modifies several useful operations like mutation and memory retention from evolutionary algorithms and swarm intelligence (SI) techniques in a multi-population manner. Furthermore, the diverse control on multiple populations, solution cloning and reset operation are designed. ...
Furthermore, a improved multi-population pareto genetic algorithm is designed for the model. 针对多目标优化模型,提出了一种改进的多群体遗传算法。 epub.cnki.net 3. To improve the anti-premature ability and efficiency of evolutionary algorithm, a new algorithm based on multi-population was proposed....
Evolutionary dynamic optimization: a survey of the state of the art Swarm Evol. Comput. (2012) D. Yazdani et al. A novel multi-swarm algorithm for optimization in dynamic environments based on particle swarm optimization Appl. Soft Comput. (2013) A. Sharifi et al. A novel hybrid adaptive ...
The methods based on the evolutionary algorithm (EA) idea are well known and effective tools capable of proposing high-quality solutions to NP-hard and NP-complete problems [4]. However, such methods have also their commonly known bottlenecks, like preconvergence [28], [33] and effectiveness ...
1) Multi-population Co-evolutionary Algorithm 多种群协同算法2) multi-swarm cooperative particle swarm optimization algorithm 多种群协同粒子群优化算法 1. An improved multi-swarm cooperative particle swarm optimization algorithm was presented to solve the proposed optimal power flow. 最优潮流的求解采用...
Evolutionary design of RBF neural network based on multi-species cooperative particle swarm optimizer; 基于多种群协同进化微粒群算法的径向基神经网络设计 更多例句>> 3) bi-subgroup evolution strategies 双种群进化策略4) Strategy of co-evolution 协同进化策略 例句>> 5...