An effective ant colony optimization algorithm (ACO) for multi-objective resource allocation problem (MORAP)

DOI10.1016/j.amc.2007.09.070zbMath1279.90199OpenAlexW2085116982MaRDI QIDQ929430

Amir H. Meimand Kermani, S. Kamal Chaharsooghi

Publication date: 17 June 2008

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2007.09.070

zbMATH Keywords

ant colony optimizationmulti-objective optimization modelmulti-objective resources allocation problem (MORAP)

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

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Cites Work

• Optimization by Simulated Annealing
• An ant colony optimization algorithm for the minimum weight vertex cover problem
• Ant colony optimization algorithm to the inter-cell layout problem in cellular manufacturing
• Multiobjective resource allocation problem by multistage decision-based hybrid genetic algorithm
• Algodesk: An experimental comparison of eight evolutionary heuristics applied to the quadratic assignment problem
• Ant colony search algorithms for optimal polygonal approximation of plane curves.
• An MCDM approach to portfolio optimization.
• An effective genetic algorithm approach to multiobjective resource allocation problems (MORAPs)
• Ant colony optimization for the nonlinear resource allocation problem
• Tabu Search—Part I
• Technical Note—Allocation of Effort Resources among Competing Activities
• Exact and Approximate Nondeterministic Tree-Search Procedures for the Quadratic Assignment Problem

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