A genetic algorithm approach to the product line design problem using the seller's return criterion: An extensive comparative computational study

DOI10.1016/S0377-2217(00)00246-0zbMath0990.90580OpenAlexW2090449297MaRDI QIDQ5945206

Georgia Alexouda, Konstantinos Paparrizos

Publication date: 19 August 2002

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

Full work available at URL: https://doi.org/10.1016/s0377-2217(00)00246-0

zbMATH Keywords

genetic algorithmsmarketingproduct line designSeller's return problem

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Production models (90B30)

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Optimal product line design: genetic algorithm approach to mitigate cannibalization ⋮ Order acceptance with weighted tardiness ⋮ A model of product line design and introduction sequence with reservation utility ⋮ In-out algorithm for assortment planning under a ranking-based consumer choice model ⋮ Backtracking and exchange of information: Methods to enhance a beam search algorithm for assembly line scheduling ⋮ Optimal product design using a colony of virtual ants ⋮ Redesigning product lines in a period of economic crisis: a hybrid simulated annealing algorithm with crossover ⋮ A Stackelberg-Nash model for new product design ⋮ Fuzzy self-tuning differential evolution for optimal product line design ⋮ Order acceptance using genetic algorithms ⋮ Clonal selection algorithms for optimal product line design: a comparative study

Uses Software

• MARKEX

Cites Work

• Unnamed Item
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