Multiobjective Optimization Using Dynamic Neighborhood Particle Swarm Optimization

Multiobjective Optimization Using Dynamic Neighborhood Particle Swarm Optimization (2002)

by Xiaohui Hu , Russell C. Eberhart

Citations:

34 - 1 self

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Datum	Value	Source
TITLE	Multiobjective Optimization Using Dynamic Neighborhood Particle Swarm Optimization	user correction - Legacy Corrections
AUTHOR NAME	Xiaohui Hu	user correction - Legacy Corrections
AUTHOR AFFIL	Department of Biomedical Engineering; Purdue University, West Lafayette, Indiana, USA; huxecn.purdue.edu; 2 Department of Electricaland Computer Engineering; Purdue School of Engineering and Technology, Indianapolis, Indiana, USA	user correction - Legacy Corrections
AUTHOR NAME	Russell C. Eberhart	user correction - Legacy Corrections
AUTHOR AFFIL	Department of Biomedical Engineering; Purdue University, West Lafayette, Indiana, USA; huxecn.purdue.edu; 2 Department of Electricaland Computer Engineering; Purdue School of Engineering and Technology, Indianapolis, Indiana, USA	user correction - Legacy Corrections
ABSTRACT	This paper presents a Particle Swarm Optimization (PSO) algorithm for multiobjective optimization problems. PSO is modified by using a dynamic neighborhood strategy, new particle memory updating, and one-dimension optimization to deal with multiple objectives. Several benchmark cases were tested and showed that PSO could efficiently find multiple Pareto optimal solutions.	user correction - Legacy Corrections
YEAR	2002	user correction - Legacy Corrections
CITATIONS	6 found	ParsCit 1.0