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Original Articles

Creating targeted initial populations for genetic product searches in heterogeneous markets

, , &
Pages 1729-1747 | Received 01 Feb 2013, Accepted 21 Oct 2013, Published online: 05 Mar 2014

References

  • Balakrishnan, P. V., R. Gupta, and V. S. Jacob. 1996. “Genetic Algorithms for Product Design.” Management Science 42 (8): 1105–1117. doi: 10.1287/mnsc.42.8.1105
  • Balakrishnan, P. V., R. Gupta, and V. S. Jacob. 2006. “An Investigation of Mating and Population Maintenance Strategies in Hybrid Genetic Heuristics for Product Line Designs.” Computer & Operations Research 33 (3): 639–659. doi: 10.1016/j.cor.2004.07.011
  • Belloni, A., R. M. Freund, M. Selove, and D. Simester. 2008. “Optimal Product Line Design: Efficient Methods and Comparisons.” Marketing Science 54 (9): 1544–1552.
  • Ben-Akiva, M., and S. R. Lerman. 1985. Discrete Choice Analysis: Theory and Application to Travel Demand. Boston: MIT University Press.
  • Bruha, I. 2005. “Rule Representation and Initial Population in Genetic Learning.” 3rd Industrial Simulation Conference, no. 76: 37–41.
  • Camm, J., D. Curry, J. Cochran, and S. Kannan. 2006. “Conjoint Optimization: An Exact Algorithm for the Share-of-Choice Problem.” Management Science 52 (3): 435–447. doi: 10.1287/mnsc.1050.0461
  • Chapman, C., and J. Alford. 2011. “Product Portfolio Evaluation Using Choice Modeling and Genetic Algorithms.” Proceedings of the 2010 Sawtooth Software Conference, Newport Beach, CA.
  • Chong, K. E., M. K. Omar, and N. A. Bakar. 2008. “Solving Assembly Line Balancing Problems using Genetic Algorithm with Heuristics-Treated Initial Population.” World Congress on Engineering: Lecture Notes in Engineering and Computer Science I–II: 1273–1277.
  • Cook, H. E., and R. E. DeVor. 1991. “On Competitive Manufacturing. Enterprises I: The S-Model and the Theory of Quality.” Manufacturing Review 4 (2): 96–105.
  • Dobson, G., and S. Kalish. 1993. “Heuristics for Pricing and Positioning a Product-Line Using Conjoint and Cost Data.” Management Science 39 (2): 160–175. doi: 10.1287/mnsc.39.2.160
  • Donndelinger, J. A., J. A. Robinson, and L. A. Wissmann. 2008. “Choice Model Specification in Market-Based Engineering Design.” Proceedings of the 2008 IDETC, Brooklyn, NY, DETC2008-50071.
  • Ferguson, S., P. Cormier, and A. Olewnik. 2011. “Exploring Marketing to Engineering Information Mapping in Mass Customization: A Presentation of Ideas, Challenges and Resulting Questions.” Proceedings of the 2011 IDETC, Washington, DC, DETC2011-48742.
  • Garcia-Arnau, M., D. Manrique, J. Rios, and A. Rodriguez-Paton. 2007. “Initialization Method for Grammar-Guided Genetic Programming.” Knowledge-Based Systems 20: 127–133. doi: 10.1016/j.knosys.2006.11.006
  • Gilbride, T. J., and P. J. Lenk. 2010. “Posterior Predictive Model Checking: An Application to Multivariate Normal Heterogeneity.” Journal of Marketing Research 47 (5): 869–909. doi: 10.1509/jmkr.47.5.896
  • Green, P., and V. Rao. 1971. “Conjoint Measurement for Quantifying Judgmental Data.” Journal of Marketing Research 8 (3): 355–363. doi: 10.2307/3149575
  • Green, P., Y. Wind, and A. Jain. 1972. “Consumer Menu Preference: An Application of Additive Conjoint Measurement.” Proceedings of the Third Annual Conference of the Association for Consumer Research, pp. 304–315.
  • Green, P. E., and A. M. Krieger. 1985. “Models and Heuristics for Product Line Selection.” Marketing Science 4 (1): 1–19. doi: 10.1287/mksc.4.1.1
  • Hanson, W., and K. Martin. 1996. “Optimizing Multinomial Logit Profit Functions.” Management Science 42 (7): 992–1003. doi: 10.1287/mnsc.42.7.992
  • Hazelrigg, G. A. 1998. “A Framework for Decision-Based Engineering Design.” Journal of Mechanical Design 120 (4): 653–658. doi: 10.1115/1.2829328
  • Holland, J. 1975. “Adaptation in Natural and Artificial Systems.” SIAM Review 18 (3): 287–299.
  • Hoyle, C., W. Chen, B. Ankenman, and N. Wang. 2008. “Optimal Experimental Design of Human Appraisals for Modeling Consumer Preferences in Engineering Design.” Proceedings of the 2008 IDETC, Brooklyn, NY, DETC2008–49561.
  • Huber, J., N. Arora, and R. Johnson. 1998. “Capturing Heterogeneity in Consumer Choices.” ART Forum, American Marketing Association.
  • Jaberipour, M., and E. Khorram. 2011. “A New Harmony Search Algorithm for Solving Mixed-Discrete Engineering Optimization Problems.” Engineering Optimization 43 (5): 507–523. doi: 10.1080/0305215X.2010.499939
  • Karci, A. 2004. “Novelty in the Generation of Initial Population for Genetic Algorithms.” Knowledge-Based Intelligent Information and Engineering Systems: Lecture Notes in Computer Science 3214: 268–275.
  • Kohli, R., and R. Krishnamurti. 1987. “A Heuristic Approach to Product Design.” Management Science 33 (12): 1523–1533. doi: 10.1287/mnsc.33.12.1523
  • Kouchakpour, P., A. Zaknich, and T. Braunl. 2007. “Population Variation in Genetic Programming.” Information Sciences 177: 3438–3452. doi: 10.1016/j.ins.2007.02.032
  • Kuczapski, A. M., M. V. Micea, L. A. Maniu, and V. I. Cretu. 2010. “Efficient Generation of Near Optimal Initial Populations to Enhance Genetic Algorithms for Job-Shop Scheduling.” Information Technology and Control 39 (1): 32–37.
  • Kumar, D., W. Chen, and T. Simpson. 2009. “A Market-Driven Approach to the Design of Platform-Based Product Families.” International Journal of Production Research 47 (1): 71–104. doi: 10.1080/00207540701393171
  • Kumar, D., C. Hoyle, W. Chen, N. Wang, G. Gomez-Levi, and F. Koppelman. 2009. “A Hierarchical Choice Modeling Approach for Incorporating Customer Preferences in Vehicle Package Design.” International Journal of Product Development 8 (3): 228–251. doi: 10.1504/IJPD.2009.024199
  • Kwak, N-S., and J. Lee. 2011. “An Implementation of New Selection Strategies in a Genetic Algorithm—Population Recombination and Elitist Refinement.” Engineering Optimization 43 (12): 1367–1384. doi: 10.1080/0305215X.2011.558577
  • Lee, K-M., J-T. Tsai, T-K. Liu, and J-H. Chou. 2010. “Improved Genetic Algorithm for Mixed-Discrete-Continuous Design Optimization Problems.” Engineering Optimization 42 (10): 927–941. doi: 10.1080/03052150903505885
  • Li, H., and S. Azarm. 2000. “Product Design Selection Under Uncertainty and With Competitive Advantage.” Journal of Mechanical Design 122 (4): 411–418. doi: 10.1115/1.1311788
  • Li, H., and S. Azarm. 2002. “An Approach for Product Line Design Selection Under Uncertainty and Competition.” Journal of Mechanical Design 124 (3): 385–392. doi: 10.1115/1.1485740
  • Lin, C. C. 2012. “Hierarchical Path Planning for Manipulators based on Genetic Algorithm with Non-random Initial Population.” International Journal of Innovative Computing Information and Control 8 (3A): 1773–1786.
  • Louviere, J., D. Hensher, and J. Swait. 2001. Stated Choice Methods: Analysis and Applications in Marketing, Transportation and Environmental Valuation. Cambridge: Cambridge University Press.
  • Maaranen, H., K. Miettinen, and M. M. Makela. 2004. “Quasi-random Initial Populations for Genetic Algorithms.” Computers and Mathematics with Applications 47: 1885–1895. doi: 10.1016/j.camwa.2003.07.011
  • Maaranen, H., K. Miettinen, and A. Penttinen. 2007. “On Initial Populations of a Genetic Algorithm for Continuous Optimization Problems.” Journal of Global Optimization 37: 405–436. doi: 10.1007/s10898-006-9056-6
  • Marston, M., and F. Mistree. 1998. “An Implementation of Expected Utility Theory in Decision Based Design.” Proceedings of the 1998 DETC, Atlanta, GA, DETC98/DTM-5670.
  • MathWorks. 2011. MATLAB version 7.12.0.635. March 18, 2011.
  • McBride, R. D., and F. S. Zufryden. 1988. “An Integer Programming Approach to the Optimal Product Line Selection Problem.” Marketing Science 7 (2): 126–140. doi: 10.1287/mksc.7.2.126
  • Michalek, J., O. Ceryan, P. Papalambros, and Y. Koren. 2006. “Balancing Marketing and Manufacturing Objectives in Product Line Design.” Journal of Mechanical Design 128 (6): 1196–1204. doi: 10.1115/1.2336252
  • Michalek, J., P. Evves, F. Adigüzel, F. Feinberg, and P. Papalambros. 2011. “Enhancing Marketing with Engineering: Optimal Product Line Design for Heterogeneous Markets.” International Journal of Research in Marketing 28 (1): 1–12. doi: 10.1016/j.ijresmar.2010.08.001
  • Michalek, J., F. Feinberg, and P. Papalambros. 2005. “Linking Marketing and Engineering Product Design Decisions via Analytical Target Cascading.” Journal of Product Innovation Management 22 (1): 42–62. doi: 10.1111/j.0737-6782.2005.00102.x
  • Moore, W., J. Louviere, and R. Verma. 1999. “Using Conjoint Analysis to Help Design Product Platforms.” Journal of Product Innovation Management 16 (1): 27–39. doi: 10.1016/S0737-6782(98)00034-4
  • Nair, S. K., L. S. Thakur, and K. W. Wen. 1995. “Near Optimal Solutions for Product Line Design and Selection: Beam Search Heuristics.” Management Science 41 (5): 767–785. doi: 10.1287/mnsc.41.5.767
  • Nakamura, M., N. Yamashiro, Y. Y. Gong, T. Matsumura, and K. Onaga. 2005. “Iterative Parallel Genetic Algorithms Based on Biased Initial Population.” IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences E88A (4): 923–929. doi: 10.1093/ietfec/e88-a.4.923
  • Olewnik, A., and V. G. Hariharan. 2010. “Conjoint-HoQ: Evolving a Methodology to Map Market Needs to Product Profiles.” International Journal of Product Development 10 (4): 338–368. doi: 10.1504/IJPD.2010.031978
  • Poles, S., Y. Fu, and E. Rigoni. 2009. “The Effect of Initial Population Sampling on the Convergence of Multi-objective Genetic Algorithms.” Multiobjective Programming and Goal Programming 618: 123–133. doi: 10.1007/978-3-540-85646-7_12
  • Prahalad, C. K., and R. A. Mashelkar. 2010. “Innovation's Holy Grail.” Harvard Business Review Jul-Aug: 131–142.
  • Rafique, A. F., L. S. He, Q. Zeeshan, A. Kamran, and K. Nisar. 2011. “Multidisciplinary Design and Optimization of an Air Launched Satellite Launch Vehicle using a Hybrid Heuristic Search Algorithm.” Engineering Optimization 43 (3): 305–328. doi: 10.1080/0305215X.2010.489608
  • Sadrzadeh, A. 2012. “A Genetic Algorithm with the Heuristic Procedure to Solve the Multi-Line Layout Problem.” Computers & Industrial Engineering 62: 1055–1064. doi: 10.1016/j.cie.2011.12.033
  • Sawtooth Software. 2008. CBC v.6.0. Sawtooth Software, Sequim, WA. http://www.sawtoothsoftware.com/download/techpap/cbctech.pdf
  • Sawtooth Software. 2009. The CBC/HB System for Hierarchical Bayes Estimation Version 5.0 Technical Article. Sawtooth Software, Sequim, WA. http://www.sawtoothsoftware.com/download/techpap/hbtech.pdf
  • Shiau, C.-S., and J. Michalek. 2009. “Should Designers Worry About Market Systems?” Journal of Mechanical Design 131 (011011): 1–9.
  • Shiau, C-S., I. H. Tseng, A. W. Heutchy, and J. Michalek. 2007. “Design Optimization of a Laptop Computer Using Aggregate and Mixed Logit Demand Models with Consumer Survey Data.” Proceedings of the 2007 IDETC, Las Vegas, NV, DETC2007-34883.
  • Simpson, T. W., J. R. A. Maier, and F. Mistree. 2001. “Product Platform Design: Method and Application.” Research in Engineering Design 13 (1): 2–22. doi: 10.1007/s001630100002
  • Smith, G. C., and S. S.-F. Smith. 2003. “Automated Initial Population Generation for Genetic Assembly Planning.” Informational Journal of Computer Integrated Manufacturing 16 (3): 219–228. doi: 10.1080/0951192021000039602
  • Srivastava, R., and K. Deb. 2013. “An Evolutionary Based Bayesian Design Optimization Approach under Incomplete Information.” Engineering Optimization 45 (2): 141–165. doi: 10.1080/0305215X.2012.661730
  • Steiner, W., and H. Hruschka. 2003. “Genetic Algorithms for Product Design: How Well Do They Really Work?” International Journal of Market Research 45 (2): 229–240.
  • Sudharshan, D., J. H. May, and A. D. Shocker. 1987. “A Simulation Comparison of Methods for New Product Location.” Marketing Science 6 (Spring): 182–201. doi: 10.1287/mksc.6.2.182
  • Sullivan, E., S. Ferguson, and J. Donndelinger. 2011. “Exploring Difference in Preference Heterogeneity Representation and Their Influence in Product Family Design.” Proceedings of the 2011 IDETC, Washington, DC, DETC2011-48636.
  • Tang, Y., J. Chen, and J. Wei. 2013. “A Surrogate-Based Particle Swarm Optimization Algorithm for Solving Optimization Problems with Expensive Black Box Functions.” Engineering Optimization 45 (5): 557–576. doi: 10.1080/0305215X.2012.690759
  • Thakur, L. S., S. K. Nair, K. W. Wen, and P. Tarasewich. 2000. “A New Model and Solution Method for Product Line Design with Pricing.” Journal of the Operational Research Society 51 (1): 90–101.
  • Thurston, D. 1991. “A Formal Method for Subjective Design Evaluation with Multiple Attributes.” Research in Engineering Design 3 (2): 105–122. doi: 10.1007/BF01581343
  • Togan, V., and A. T. Daloglu. 2008. “An Improved Genetic Algorithm with Initial Population Strategy and Self-Adaptive Member Grouping.” Computers and Structures 86: 1204–1218. doi: 10.1016/j.compstruc.2007.11.006
  • Train, K. E. 2003. Discrete Choice Methods with Simulation. Cambridge: Cambridge University Press.
  • Tsafarakis, S., Y. Marinakis, and N. Matsatsinis. 2011. “Particle Swarm Optimization for Optimal Product Line Design.” International Journal of Research in Marketing 28 (1): 13–22. doi: 10.1016/j.ijresmar.2010.05.002
  • Turner, C., S. Ferguson, and J. Donndelinger. 2011. “Exploring Heterogeneity of Customer Preference to Balance Commonality and Market Coverage.” Proceedings of the 2011 IDETC, Washington, DC, DETC2011-48581.
  • Villeneuve, F. J., and D. M. Mavris. 2012. “Aircraft Technology Portfolio Optimization using Ant Colony Optimization.” Engineering Optimization 44 (11): 1369–1387. doi: 10.1080/0305215X.2011.649747
  • Wang, X., J. Camm, and D. Curry. 2009. “A Branch-and-Price Approach to the Share-of-Choice Product Line Design Problem.” Management Science 55 (10): 1718–1728. doi: 10.1287/mnsc.1090.1058
  • Wassenaar, H., and W. Chen. 2003. “An Approach to Decision Based Design with Discrete Choice Analysis for Demand Modeling.” Journal of Mechanical Design 125 (3): 490–497. doi: 10.1115/1.1587156
  • Wassenaar, H., W. Chen, J. Cheng, and A. Sudjianto. 2004. “An Integrated Latent Variable Choice Modeling Approach for Enhancing Product Demand Modeling.” Proceedings of the 2004 DETC, Salt Lake City, UT, DETC2004/DTM-57487.
  • Williams, N., P. K. Kannan, and S. Azarm. 2011. “Retail Channel Structure Impact on Strategic Engineering Product Design.” Management Science 57 (5): 897–914. doi: 10.1287/mnsc.1110.1326

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