{"product_id":"personal-best-oriented-particle-swarm-optimizer-von-chang-huang-chen","title":"Personal Best Oriented Particle Swarm Optimizer","description":"\u003cp\u003eTwo variants of particle swarm optimization, called  personal best PSO(PPSO) and simplified PPSO(SPPSO),  are proposed. Empirical studies demonstrate that  PPSO usually outperforms PSO both in computation  quality and onvergent speed. Moreover, without  incurring any new computational and logical  operations, PPSO and SPPSO are simple and easy to  implement.  A first-order difference equation is developed to  characterize the behaviors of PPSO and SPPSO.  Theoretical analysis depicted that a particle  stochastically moves within a region in real space.  On each dimension, the center of the region  approximately equals to a random weighted mean of  the best positions found by an individual and its  neighbors. This phenomenon is observed and verified  from the trajectory profiles. The feasibility and capability of PPSO and SPPSO  are tested on several high dimensional benchmark  functions. They are also verified by applied to  economic power dispatch problems with various kinds  of cost functions as well as different constraints.  Experimental results demonstrate that, for most of  the problems, PPSO and SPPSO indeed can obtain  better solutions than PSO.\u003c\/p\u003e\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783838351223\"\u003e\u003ch3\u003eand Its Application to Economic Dispatch Problems\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783838351223","offer_id":39469144211549,"sku":"9783838351223","price":68.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/1a717c72-4232-4b12-ad14-b651867f02c9.jpg?v=1774936190","url":"https:\/\/shop.autorenwelt.de\/products\/personal-best-oriented-particle-swarm-optimizer-von-chang-huang-chen","provider":"Autorenwelt Shop","version":"1.0","type":"link"}