Modern hybrids - optimization using local search, population-based search, and machine learning

This paper introduces a novel crisscross search particle swarm optimizer called CSPSO.The CSPSO algorithm has significant superiority over most of the other PSO variants in terms of solution accuracy and convergence rate.The swarm in CSPSO is directly ...

To address the problem of space locus searching, a slowdown particle swarm optimization (SPSO) is proposed to improve the convergence performance of particle swarm from the position viewpoint. The particle swarm in SPSO is divided into many independent ...

This paper introduces a novel particle swarm optimization (PSO) with random position to improve the global search ability of particle swarm optimization with linearly decreasing inertia weight (IWPSO). Standard particle swarm optimization and most of ...