DEPSO: hybrid particle swarm with differential evolution operator 论文
2004引用 405
Metaheuristic Optimization Algorithms ResearchArtificial Immune Systems ApplicationsMathematical and Theoretical Epidemiology and Ecology Models
摘要
A hybrid particle swarm with differential evolution operator, termed DEPSO, which provide the bell-shaped mutations with consensus on the population diversity along with the evolution, while keeping the self-organized particle swarm dynamics, is proposed. Then it is applied to a set of benchmark functions, and the experimental results illustrate its efficiency.