Solving multi-objective production scheduling problems using metaheuristics
type: Item
instance of: scholarly article
title: Solving multi-objective production scheduling problems using metaheuristics
zbMATH Open document ID: 1065.90040
published in: European Journal of Operational Research
publication date: 2004-11-22T00:00:00Z
Mathematics Subject Classification ID: 90B35
Mathematics Subject Classification ID: 90B30
Mathematics Subject Classification ID: 90C29
zbMATH DE Number: 2117419
zbMATH Keywords: Production scheduling
zbMATH Keywords: Multi-objective optimization
author: Taicir Loukil
author: Jacques Teghem
author: Daniel Tuyttens
MaRDI profile type: Publication
full work available at URL: j.ejor.2003.08.029
OpenAlex ID: W2085722120
cites work: Complexity of single machine, multi-criteria scheduling problems
cites work: Local Search Heuristics for the Single Machine Total Weighted Tardiness Scheduling Problem
cites work: A survey and annotated bibliography of multiobjective combinatorial optimization
cites work: Q3938812
cites work: A new heuristic for the n-job, M-machine flow-shop problem
cites work: Q4002567
cites work: Note: Bicriteria scheduling for minimizing flow time and maximum tardiness
cites work: Bicriterion scheduling in the two-machine flowshop
cites work: Solving multi-objective production scheduling problems with tabu search
cites work: Scheduling with Multiple Performance Measures: The One-Machine Case
cites work: Genetic algorithms for the two-stage bicriteria flowshop problem
cites work: Two-Stage Flowshop Scheduling Problem with Bicriteria
cites work: Heuristics for scheduling in flowshop with multiple objectives
cites work: A Mixed-Integer Goal-Programming Formulation of the Standard Flow-Shop Scheduling Problem
cites work: Benchmarks for basic scheduling problems
cites work: An interactive heuristic method for multi-objective combinatorial optimization
cites work: Solving a bicriterion scheduling problem
cites work: MOSA method: a tool for solving multiobjective combinatorial optimization problems
DOI: 10.1016/J.EJOR.2003.08.029
description: scientific article; zbMATH DE number 2117419