Application of PSO Algorithm to Multi-objective Optimization in Network Planning

In this paper, we apply well-performed Particle Swarm Optimization (PSO) algorithm to solve multi-objective optimization problem in engineering network planning, and propose possible initialization and constraints by multi constrained matrix and heuristic criterion to reduce complexity of penalty factor. In the coding process, we define the particle, level objectives by importance, and build linear weighted method by fitness function of particles to resolve the partial ordering problem derived from multi-objective comparison. Numerical result indicates the proposed approach can increase the solution speed, reduce the solution difficulty of PSO algorithm and search space about its solution. And it also demonstrates PSO algorithm is practical and valid in multi objective network optimization.