A hybrid genetic algorithm for a type of nonlinear programming problem
type: Item
instance of: scholarly article
title: A hybrid genetic algorithm for a type of nonlinear programming problem
zbMATH Open document ID: 0941.90068
DOI: 10.1016/S0898-1221(98)00146-1
author: Jiafu Tang
author: Dingwei Wang
author: A. Ip
author: Richard Y. K. Fung
publication date: 2000-08-07T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 49M37
zbMATH DE Number: 1358063
zbMATH Keywords: nonlinear programming
zbMATH Keywords: hybrid genetic algorithm
zbMATH Keywords: weighted gradient direction
zbMATH Keywords: feasible degree
zbMATH Keywords: semifeasible direction
MaRDI profile type: Publication
cites work: Genetic algorithms and tabu search: Hybrids for optimization
cites work: Q4079017
cites work: An interactive approach based on a genetic algorithm for a type of quadratic programming problems with fuzzy objective and resources
cites work: Q3677502
full work available at URL: s0898-1221(98)00146-1
OpenAlex ID: W2083235520
published in: Computers & Mathematics with Applications
description: scientific article; zbMATH DE number 1358063