Skip to main content

Evolutionary Computational Techniques in Marketing

  • Reference work entry
  • First Online:
Encyclopedia of Machine Learning and Data Mining

Motivation and Background

The Internet and social networks are key factors that have strongly affected market competition, as they provide customers with more choice in products, services, and prices. For instance, well-established electronic commerce companies such as Amazon, Booking, TripAdvisor, and others provide rankings of their products based on past customer reviews. In the same vein, social networks are a powerful tool to spread good or bad comments about products or services, and they can directly influence potential clients, since the members of the same social network usually share interests and have similar economic levels. For those reasons, marketing teams have focused efforts on creating intelligent business strategies. New artificial intelligence approaches to marketing have emerged, especially evolutionary algorithms used to solve a variety of marketing problems such as the design of attractive products and services for consumers, the analysis of populations or social...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 699.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 949.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  • Abraham A, Ramos V (2003) Web usage mining using artificial ant colony clustering and linear genetic programming. In: Congress on evolutionary computation (CEC), Canberra, vol 2. IEEE, pp 1384–1391

    Google Scholar 

  • Bhattacharyya S (2000) Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing. In KDD’00: proceedings of the sixth ACM SIGKDD international conference on knowledge discovery and data mining, New York. ACM, pp 465–473

    Chapter  Google Scholar 

  • Fruchter G, Fligler A, Winer R (2006) Optimal product line design: a genetic algorithm approach to mitigate cannibalization. J Optim Theory Appl 131(2):227–244

    Article  MathSciNet  MATH  Google Scholar 

  • Kwon Y-K, Moon B-R (2001) Personalized email marketing with a genetic programming circuit model. In: Spector L, Goodman ED, Wu A, Langdon WB, Voigt H-M, Gen M, Sen S, Dorigo M, Pezeshk S, Garzon MH, Burke E (eds) Proceedings of the genetic and evolutionary computation conference (GECCO-2001), San Francisco. Morgan Kaufmann, pp 1352–1358

    Google Scholar 

  • Liu H-H, Ong C-S (2008) Variable selection in clustering for marketing segmentation using genetic algorithms. Expert Syst Appl 34(1):502–510

    Article  Google Scholar 

  • Naik PA, Mantrala MK, Sawyer AG (1998) Planning media schedules in the presence of dynamic advertising quality. Mark Sci 17(3):214–235

    Article  Google Scholar 

  • Scanlon J, (2008) “Staples’ Evolution”, Bloomberg.com, Bloomberg, < http://www.bloomberg.com/news/articles/2008-12-29/staples-evolutionbusinessweek-business-news-stock-market-and-financial-advice >.

  • Sundar Balakrishnan PV, Jacob VS (1996) Genetic algorithms for product design. Manag Sci 42(8):1105–1117

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alma Lilia García-Almanza .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media New York

About this entry

Cite this entry

García-Almanza, A.L., Alexandrova-Kabadjova, B., Martínez-Jaramillo, S. (2017). Evolutionary Computational Techniques in Marketing. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_89

Download citation

Publish with us

Policies and ethics