Optimal product design using a colony of virtual ants

DOI10.1016/j.ejor.2005.06.042zbMath1137.90720OpenAlexW2114572629MaRDI QIDQ2432923

M. David Albritton, Patrick R. Mcmullen

Publication date: 25 October 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.2005.06.042

zbMATH Keywords

heuristicscombinatorial optimizationant colony optimization (ACO)product design/planningswarm intelligence (SI)

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Combinatorial optimization (90C27)

Related Items (5)

Fresh seafood delivery routing problem using an improved ant colony optimization ⋮ An efficient solution method to design the cost-minimizing platform portfolio ⋮ A Stackelberg-Nash model for new product design ⋮ Fuzzy self-tuning differential evolution for optimal product line design ⋮ Clonal selection algorithms for optimal product line design: a comparative study

Uses Software

• AntNet

Cites Work

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• Optimal product design using conjoint analysis: Computational complexity and algorithms
• Testing heuristics: We have it all wrong
• Genetic Algorithms for Product Design
• An Ant Colony System Hybridized with a New Local Search for the Sequential Ordering Problem
• Near Optimal Solutions for Product Line Design and Selection: Beam Search Heuristics
• A genetic algorithm approach to the product line design problem using the seller's return criterion: An extensive comparative computational study

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