Hybrid Radius Particle Swarm Optimization Applications

摘要: The Hybrid Radius Particle Swarm Optimization (HRPSO) algorithm is developed, where the social interaction among agent particle over radius of swarm circle topology applied to avoid premature convergence. For optimization benchmark functions, HRPSO performs better than (PSO) and other existing methods. solve several real-world problems, including Resource-Constrained Project Scheduling Problem (RCPSP) Travelling Salesman (TSP). We have designed investigated different approaches, such as adaptive mutation, forward backward propagation, k-means combined with (RPSO) these problems. efficiency proposed method tested against results show that gives optimum results.