Paper Title:
Adaptive Particle Swarm Optimization for Continuous Domain
  Abstract

An Adaptive particle swarm optimization algorithm is proposed. Algorithm combines with pareto local search (PLS) method and adaptively adjusts flying time. During the search process, our algorithm can enhance the local search ability of particle swarm optimization (PSO) thought adding random perturbation to local search. The flying time of every particle in our algorithm can adaptively adjust with the evolutionary generations. Some optimization tests of the standard benchmark function confirm that our method has a stronger ability of global optimization.

  Info
Periodical
Advanced Materials Research (Volumes 204-210)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1139-1142
DOI
10.4028/www.scientific.net/AMR.204-210.1139
Citation
C. M. Qi, "Adaptive Particle Swarm Optimization for Continuous Domain", Advanced Materials Research, Vols. 204-210, pp. 1139-1142, 2011
Online since
February 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Ricardo Perera, Sheng En Fang, Antonio Ruiz
Abstract:In the context of real-world damage detection problems, the lack of a clear objective function advises to perform simultaneous optimizations...
661
Authors: Xiao Hua Wang, Yong Mei Zhang
Abstract:On the premise of ensuring safety and reliability in electricity market environment, the goal of State Grid Corporation is that purchase AGC...
274
Authors: Bing Kun Zhu, Li Hong Xu, Hai Gen Hu
Abstract:Multi-objective optimization is a challenging research topic because it involves the simultaneous optimization of several complex and...
818
Authors: Jun Zhang, Kan Yu Zhang
Chapter 19: Modeling, Analysis, and Simulation of Manufacturing Processes II
Abstract:Good dynamic performance of a system have great significance in the traditional sense, furthermore,it is more important at the point of...
4768
Authors: Bei Zhan Wang, Xiang Deng, Wei Chuan Ye, Hai Fang Wei
Chapter 13: Mechanical Control and Information Processing Technology
Abstract:The particle swarm optimization (PSO) algorithm is a new type global searching method, which mostly focus on the continuous variables and...
1787