An Efficient Modified Particle Swarm Optimization Algorithm for Solving Mixed-Integer Nonlinear Programming Problems

This paper presents an efficient modified particle swarm optimization (EMPSO) algorithm for solving mixed-integer nonlinear programming problems. In the proposed algorithm, a new evolutionary strategies for the discrete variables is introduced, which can solve the problem that the evolutionary strat...

Full description

Bibliographic Details

Published in:	International journal of computational intelligence systems Vol. 12; no. 2; pp. 530 - 543
Main Authors:	Sun, Ying, Gao, Yuelin
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.01.2019 Springer Nature B.V Springer
Subjects:	Constrained optimization Evolutionary algorithms Mixed integer Mixed-integer nonlinear programming Nonlinear programming Optimization algorithms Particle swarm optimization Performance indices Research Article Simulated annealing Mixed-integer nonlinear programming Particle swarm optimization Simulated annealing Constrained optimization
ISSN:	1875-6891, 1875-6883, 1875-6883
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!