Paper Title:
Improved Particle Swarm Optimization Algorithm for Mixed Integer Nonlinear Programming Problems
  Abstract

This paper presents an improve particle swarm optimization algorithm for solving the mixed nonlinear integer programming problems. In this algorithm, the mixed nonlinear integer programming problems is converted into unconstrained bi-objective optimization problem by the dynamic bi-objective constraint handling methods and improved the velocity equation of PSO. Introduction of migration operator in order to overcome the premature phenomenon, retention to the better performance of infeasible particles according to the constraint violation in each iteration, it is effectively maintain the swarm diversity. Numerical experiments show that the proposed algorithm has faster convergence speed and better ability of global optimization.

  Info
Periodical
Key Engineering Materials (Volumes 467-469)
Edited by
Dehuai Zeng
Pages
359-364
DOI
10.4028/www.scientific.net/KEM.467-469.359
Citation
H. R. Li, Y. L. Gao, "Improved Particle Swarm Optimization Algorithm for Mixed Integer Nonlinear Programming Problems", Key Engineering Materials, Vols. 467-469, pp. 359-364, 2011
Online since
February 2011
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Price
$32.00
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