Decomposition of parametric space for bi-objective optimization problem using neural network approach
type: Item
instance of: scholarly article
title: Decomposition of parametric space for bi-objective optimization problem using neural network approach
zbMATH Open document ID: 1396.90082
author: Mahmoud A. Abo-Sinna
author: R. M. Rizk-Allah
published in: Opsearch
publication date: 2018-10-02T00:00:00Z
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 90C26
zbMATH DE Number: 6946286
zbMATH Keywords: bi-objective optimization problem
zbMATH Keywords: neural networks
zbMATH Keywords: non-linear programming problem
zbMATH Keywords: Pareto-optimal solutions
zbMATH Keywords: asymptotic stability
MaRDI profile type: Publication
full work available at URL: s12597-018-0337-x
OpenAlex ID: W2791809995
cites work: A projection neural network and its application to constrained optimization problems
cites work: ``Neural'' computation of decisions in optimization problems
cites work: The neural network model for solving minimax problems with constraints
cites work: A high performance neural network for solving nonlinear programming problems with hybrid constraints
cites work: A hybrid neural network approach to bilevel programming problems
cites work: A new neural network model for solving random interval linear programming problems
cites work: Integrating reference point, Kuhn-Tucker conditions and neural network approach for multi-objective and multi-level programming problems
cites work: Nonlinear multiobjective optimization
cites work: Q4162988
cites work: An algorithm for decomposing the parametric space in multiobjective dynamic programming problems
cites work: An algorithm for generating efficient solutions of multiobjective dynamic programming problems
cites work: Q5589748
cites work: Q3801435
cites work: Q4141027
Wikidata QID: Q130119460
DOI: 10.1007/S12597-018-0337-X
description: scientific article; zbMATH DE number 6946286