Advanced particle swarm assisted genetic algorithm for constrained optimization problems
type: Item
instance of: scholarly article
title: Advanced particle swarm assisted genetic algorithm for constrained optimization problems
zbMATH Open document ID: 1334.90208
author: Manoj Kumar Dhadwal
author: Sung Nam Jung
author: Chang Joo Kim
published in: Computational Optimization and Applications
publication date: 2014-09-26T00:00:00Z
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 90C30
zbMATH DE Number: 6348500
zbMATH Keywords: evolutionary computation
zbMATH Keywords: particle swarm
zbMATH Keywords: genetic algorithm
zbMATH Keywords: rank-based multi-parent crossover
zbMATH Keywords: constrained optimization
zbMATH Keywords: feasible population
MaRDI profile type: Publication
full work available at URL: s10589-014-9637-0
OpenAlex ID: W2041840164
cites work: Q5191184
cites work: Future paths for integer programming and links to artificial intelligence
cites work: Q4079017
cites work: A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice
cites work: An efficient constraint handling method for genetic algorithms
cites work: A genetic algorithm based augmented Lagrangian method for constrained optimization
cites work: An adaptive penalty scheme for genetic algorithms in structural optimization
cites work: An improved GA and a novel PSO-GA-based hybrid algorithm
cites work: AI 2005: Advances in Artificial Intelligence
cites work: Integrating particle swarm optimization with genetic algorithms for solving nonlinear optimization problems
cites work: Empirical analysis of a modified Artificial Bee Colony for constrained numerical optimization
cites work: Q5652460
DOI: 10.1007/S10589-014-9637-0
description: scientific article; zbMATH DE number 6348500