Multi-objectives tabu search based algorithm for progressive resource allocation

DOI10.1016/j.ejor.2005.10.012zbMath1102.90331OpenAlexW2051204535MaRDI QIDQ857318

Nassirou Lo, Lamia Belfares, Walid Klibi, Adel Guitouni

Publication date: 14 December 2006

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2005.10.012

zbMATH Keywords

tabu searchPareto optimalitymulti-criteriaresources allocationcourses of action

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Approximation methods and heuristics in mathematical programming (90C59) Resource and cost allocation (including fair division, apportionment, etc.) (91B32)

Related Items (7)

Pareto dominance based multiobjective cohort intelligence algorithm ⋮ Graph multi-coloring for a job scheduling application ⋮ A model predictive control approach to the periodic implementation of the solutions of the optimal dynamic resource allocation problem ⋮ Multi-objective two-level medical facility location problem and tabu search algorithm ⋮ A Multiobjective Resource-Constrained Project-Scheduling Problem ⋮ A MULTI-OBJECTIVE RISK-BASED FRAMEWORK FOR MISSION CAPABILITY PLANNING ⋮ A multiobjective hybrid ant colony optimization approach applied to the assignment and scheduling problem

Uses Software

• NBI

Cites Work

• Scheduling subject to resource constraints: Classification and complexity
• Multiple attribute decision making. Methods and applications. A state-of- the-art survey
• A tabu search approach for the resource constrained project scheduling problem
• Scheduling of resource-constrained projects
• A survey and annotated bibliography of multiobjective combinatorial optimization
• Use of substitute scalarizing functions to guide a local search based heuristic: the case of moTSP
• Tabu Search—Part I
• Tabu Search—Part II
• Search Heuristics for Resource Constrained Project Scheduling
• Minimisation Du Coût De Disponibilité Des Ressources D’un Projet Sous Contrainte De Temps Par Une Adaptation De La Méthode Tabou
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