Multi-objective metaheuristic algorithms for the resource-constrained project scheduling problem with precedence relations

This study addresses the resource-constrained project scheduling problem with precedence relations, and aims at minimizing two criteria: the makespan and the total weighted start time of the activities. To solve the problem, five multi-objective metaheuristic algorithms are analyzed, based on Multi-...

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Veröffentlicht in:	Computers & operations research Jg. 44; S. 92 - 104
Hauptverfasser:	Gomes, Helton Cristiano, de Assis das Neves, Francisco, Souza, Marcone Jamilson Freitas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.04.2014 Elsevier Pergamon Press Inc
Schlagworte:	Algorithms Applied sciences Comparative analysis Decision theory. Utility theory Errors Exact sciences and technology Experimental design Heuristic Indicators Inventory control, production control. Distribution Mathematical models Mathematics Metaheuristics Multi-objective optimization Operational research and scientific management Operational research. Management science Pareto optimality Pareto optimum Probability and statistics Project management Resource constrained project scheduling Scheduling Scheduling algorithms Scheduling, sequencing Sciences and techniques of general use Searching Statistics Strategy Studies Multi-objective optimization Resource constrained project scheduling Metaheuristics Project management Performance evaluation Local search Pareto optimum Multiobjective programming Dominance Scheduling Makespan Optimization Search algorithm Neighborhood search Heuristic method Metric Resource management Metamodel
ISSN:	0305-0548, 1873-765X, 0305-0548
Online-Zugang:	Volltext
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