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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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  • Alexouda, Georgia
  • Paparrizos, Konstantinos

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  • Alexouda, Georgia & Paparrizos, Konstantinos, 2001. "A genetic algorithm approach to the product line design problem using the seller's return criterion: An extensive comparative computational study," European Journal of Operational Research, Elsevier, vol. 134(1), pages 165-178, October.
    • Handle: RePEc:eee:ejores:v:134:y:2001:i:1:p:165-178
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    1. Gregory Dobson & Shlomo Kalish, 1988. "Positioning and Pricing a Product Line," Marketing Science, INFORMS, vol. 7(2), pages 107-125.
    2. P. V. (Sundar) Balakrishnan & Varghese S. Jacob, 1996. "Genetic Algorithms for Product Design," Management Science, INFORMS, vol. 42(8), pages 1105-1117, August.
    3. Jakobs, Stefan, 1996. "On genetic algorithms for the packing of polygons," European Journal of Operational Research, Elsevier, vol. 88(1), pages 165-181, January.
    4. Kohli, Rajeev & Krishnamurti, Ramesh, 1989. "Optimal product design using conjoint analysis: Computational complexity and algorithms," European Journal of Operational Research, Elsevier, vol. 40(2), pages 186-195, May.
    5. Paul E. Green & Abba M. Krieger, 1985. "Models and Heuristics for Product Line Selection," Marketing Science, INFORMS, vol. 4(1), pages 1-19.
    6. Richard D. McBride & Fred S. Zufryden, 1988. "An Integer Programming Approach to the Optimal Product Line Selection Problem," Marketing Science, INFORMS, vol. 7(2), pages 126-140.
    7. Suresh K. Nair & Lakshman S. Thakur & Kuang-Wei Wen, 1995. "Near Optimal Solutions for Product Line Design and Selection: Beam Search Heuristics," Management Science, INFORMS, vol. 41(5), pages 767-785, May.
    8. Atidel Ben Hadj-Alouane & James C. Bean, 1997. "A Genetic Algorithm for the Multiple-Choice Integer Program," Operations Research, INFORMS, vol. 45(1), pages 92-101, February.
    9. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    10. Green, Paul E. & Krieger, Abba M., 1989. "Recent contributions to optimal product positioning and buyer segmentation," European Journal of Operational Research, Elsevier, vol. 41(2), pages 127-141, July.
    11. Matsatsinis, Nikolaos F. & Siskos, Yannis, 1999. "MARKEX: An intelligent decision support system for product development decisions," European Journal of Operational Research, Elsevier, vol. 113(2), pages 336-354, March.
    12. Green, Paul E. & Krieger, Abba M., 1992. "Modeling competitive pricing and market share: Anatomy of a decision support system," European Journal of Operational Research, Elsevier, vol. 60(1), pages 31-44, July.
    13. Rajeev Kohli & R. Sukumar, 1990. "Heuristics for Product-Line Design Using Conjoint Analysis," Management Science, INFORMS, vol. 36(12), pages 1464-1478, December.
    14. Chatterjee, Sangit & Carrera, Cecilia & Lynch, Lucy A., 1996. "Genetic algorithms and traveling salesman problems," European Journal of Operational Research, Elsevier, vol. 93(3), pages 490-510, September.
    15. Beasley, J. E. & Chu, P. C., 1996. "A genetic algorithm for the set covering problem," European Journal of Operational Research, Elsevier, vol. 94(2), pages 392-404, October.
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    Cited by:

    1. Lacourbe, Paul, 2012. "A model of product line design and introduction sequence with reservation utility," European Journal of Operational Research, Elsevier, vol. 220(2), pages 338-348.
    2. G. E. Fruchter & A. Fligler & R. S. Winer, 2006. "Optimal Product Line Design: Genetic Algorithm Approach to Mitigate Cannibalization," Journal of Optimization Theory and Applications, Springer, vol. 131(2), pages 227-244, November.
    3. Pantourakis, Michail & Tsafarakis, Stelios & Zervoudakis, Konstantinos & Altsitsiadis, Efthymios & Andronikidis, Andreas & Ntamadaki, Vasiliki, 2022. "Clonal selection algorithms for optimal product line design: A comparative study," European Journal of Operational Research, Elsevier, vol. 298(2), pages 585-595.
    4. Alexandre Belloni & Robert Freund & Matthew Selove & Duncan Simester, 2008. "Optimizing Product Line Designs: Efficient Methods and Comparisons," Management Science, INFORMS, vol. 54(9), pages 1544-1552, September.
    5. Tsafarakis, Stelios & Zervoudakis, Konstantinos & Andronikidis, Andreas & Altsitsiadis, Efthymios, 2020. "Fuzzy self-tuning differential evolution for optimal product line design," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1161-1169.
    6. Albritton, M. David & McMullen, Patrick R., 2007. "Optimal product design using a colony of virtual ants," European Journal of Operational Research, Elsevier, vol. 176(1), pages 498-520, January.
    7. Sabuncuoglu, Ihsan & Gocgun, Yasin & Erel, Erdal, 2008. "Backtracking and exchange of information: Methods to enhance a beam search algorithm for assembly line scheduling," European Journal of Operational Research, Elsevier, vol. 186(3), pages 915-930, May.
    8. Tsafarakis, Stelios & Marinakis, Yannis & Matsatsinis, Nikolaos, 2011. "Particle swarm optimization for optimal product line design," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 13-22.
    9. Juan Carlos Leyva López & Jesús Jaime Solano Noriega & Omar Ahumada Valenzuela & Alma Montserrat Romero Serrano, 2022. "A preference choice model for the new product design problem," Operational Research, Springer, vol. 22(4), pages 1-32, September.
    10. Stelios Tsafarakis, 2016. "Redesigning product lines in a period of economic crisis: a hybrid simulated annealing algorithm with crossover," Annals of Operations Research, Springer, vol. 247(2), pages 617-633, December.

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