Abstract: This paper shows the Particle Swarm Optimization algorithm with a Differential Evolution. Each candidate solution is sampled uniformly in −5,5 D, whereDdenotes the search space dimension, and the evolution is performed with a classical PSO algorithm and a classical DE/x/1 algorithm according to a random threshold.

Keywords: Benchmarking, Black-box optimization, Direct search, Evolutionary computation, Particle Swarm Optimizacin, Differential Evolution

Categories:G.1.6 Numerical Analysis: Optimization-global optimization, unconstrained optimization; F.2.1 Analysis of Algorithms and Problem Complexity: Numerical Algorithms and Problems.

Link:

DIFFERENTIAL EVOLUTION – PARTICLE SWARM OPTIMIZATION

Nuria Gómez Blas, Alberto Arteta, Luis F. de Mingo

http://foibg.com/ijitk/ijitk-vol05/ijitk05-1-p07.pdf