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...

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Bibliografiske detaljer
Main Authors: Ying Sun, Yuelin Gao
Format: Artigo
Sprog:Inglês
Udgivet: Springer 2019-04-01
Serier:International Journal of Computational Intelligence Systems
Fag:
Particle swarm optimization
Mixed-integer nonlinear programming
Constrained optimization
Simulated annealing
Online adgang:https://www.atlantis-press.com/article/125905881/view
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