Title :
Particle swarm optimization and fitness sharing to solve multi-objective optimization problems
Author :
Salazar-Lechuga, Maximino ; Rowe, Jonathan E.
Author_Institution :
Sch. of Comput. Sci., The Univ. of Birmingham, UK
Abstract :
The particle swarm optimization algorithm has been shown to be a competitive heuristic to solve multi-objective optimization problems. Also, fitness sharing concepts have shown to be significant when used by multi-objective optimization methods. In this paper we introduce an algorithm that makes use of these two main concepts, particle swarm optimization and fitness sharing to tackle multi-objective optimization problems.
Keywords :
heuristic programming; nonlinear programming; particle swarm optimisation; competitive heuristic; fitness sharing; multiobjective optimization problems; particle swarm optimization; Birds; Computational efficiency; Computer science; Evolutionary computation; Optimization methods; Pareto optimization; Particle swarm optimization; Performance evaluation; Space exploration; Testing;
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN :
0-7803-9363-5
DOI :
10.1109/CEC.2005.1554827
