Competitive Swarm Optimizer with Mutated Agents for Finding Optimal Designs for Nonlinear Regression Models with Multiple Interacting Factors [0.03%]
带有变异代理的竞赛群优化器，用于查找具有多个交互因素的非线性回归模型的最佳设计
Zizhao Zhang,Weng Kee Wong,Kay Chen Tan
Zizhao Zhang
This paper proposes a novel enhancement for Competitive Swarm Optimizer (CSO) by mutating loser particles (agents) from the swarm to increase the swarm diversity and improve space exploration capability, namely Competitive Swarm Optimizer w...
Wei-Chen Cheng,Cheng-Yuan Liou
Wei-Chen Cheng
This paper presents a distance invariant manifold that preserves the neighborhood relations among data patterns. All patterns have their corresponding cells in the manifold space. The constellation of neighborhood cells closely resembles th...
OMNIREP: Originating Meaning by Coevolving Encodings and Representations [0.03%]
基于编码和表示共演化的起源意义的方法(Omnirep)
Moshe Sipper,Jason H Moore
Moshe Sipper
A major effort in the practice of evolutionary computation (EC) goes into deciding how to represent individuals in the evolving population. This task is actually composed of two subtasks: defining a data structure that is the representation...
Chowdhury, Arkabandhu; Zafar, Hamim; Panigrahi et al.
Chowdhury et al.
Widl, Magdalena; Musliu, Nysret
Widl
A memetic algorithm based on multiple learning procedures for global optimal design of composite structures [0.03%]
António, Carlos Conceição
António
Empirical and analytical study of many-objective optimization problems: analysing distribution of nondominated solutions and population size for scalability of randomized heuristics [0.03%]
Joshi, Ramprasad; Deshpande, Bharat
Joshi
Editorial [0.03%]
Lim, Meng-Hiot; Gustafson, Steve; Krasnogor et al.
Lim et al.
Schaefer, Gerald
Schaefer
Goñi-Moreno, Angel
Goñi-Moreno