شماره ركورد كنفرانس :
4418
عنوان مقاله :
A Voronoi Decomposing Cooperative Learning Particle Swarm Optimization with Random Walk Strategy
پديدآورندگان :
Rady Raz Nasibeh Department of Artificial Intelligent, Islamic Azad University, Mashhad Branch, Mashhad, Iran , Yousefi Marzieh Department of Artificial Intelligent, Islamic Azad University, Mashhad Branch, Mashhad, Iran , Akbarzadeh –T. Mohammad-R. Departments of Electrical Computer Engineering, Ferdowsi University of Mashhad, Iran
كليدواژه :
Cooperative , Adaptive Learning , Voronoi Decomposing , large scale optimization , Random Walk
عنوان كنفرانس :
يازدهمين كنفرانس سراسري سيستم هاي هوشمند
چكيده فارسي :
Cooperative Co-evolutionary Particle Swarm Optimization (CCPSO) is based on a cooperative co-evolutionary framework and has been proposed for solving large scale nonseparable problems. This algorithm uses random grouping strategy for decomposing variables. In this paper we propose a Voronoi-bacesd decomposition for Cooperative Learning Particle Swarm Optimization (VCLPSO). Instead of random grouping, the proposed approach uses Voronoi decomposing strategy and then in order to increase the explorability of the algorithm in a multi modal search space we use Cauchy and Gaussian distributionsand random walk. These two techniques yield to faster and more mature convergence of the algorithm. The results are evaluated using several CEC2010 benchmarks, and also are compared with results of several state-of-the-art approaches such as cooperation co-evolution particle swarm optimization (CCPSO)
