Particle swarm optimization for integer programming 论文

2003引用 299
Metaheuristic Optimization Algorithms ResearchEvolutionary Algorithms and ApplicationsAdvanced Multi-Objective Optimization Algorithms

摘要

The investigation of the performance of the particle swarm optimization (PSO) method in integer programming problems, is the main theme of the present paper. Three variants of PSO are compared with the widely used branch and bound technique, on several integer programming test problems. Results indicate that PSO handles efficiently such problems, and in most cases it outperforms the branch and bound technique.