Solving marketing optimization problems using genetic algorithms
- 1 April 1995
- journal article
- research article
- Published by Emerald Publishing in European Journal of Marketing
- Vol. 29 (4) , 39-56
- https://doi.org/10.1108/03090569510086648
Abstract
Aims to show the potential benefits associated with the application of genetic algorithms (GAs) to the field of marketing management. Describes the background and fundamentals of the technique, and introduces a list of relevant marketing areas to which an optimization technique such as genetic algorithms could be applied. Presents two worked examples (one in site location and the other in market segmentation) to illustrate the power and suitability of using GAs in marketing.Keywords
This publication has 35 references indexed in Scilit:
- Fuzzy logic control of aggregate production planningComputers & Industrial Engineering, 1992
- Information resource matrix for production and intelligent manufacturing using genetic algorithm techniquesComputers & Industrial Engineering, 1992
- A genetic algorithm approach to the machine-component grouping problem with multiple objectivesComputers & Industrial Engineering, 1992
- Genetic algorithms in process planningComputers in Industry, 1991
- Expert Systems for Site Location DecisionsLogistics Information Management, 1991
- Genetic algorithms and job shop schedulingComputers & Industrial Engineering, 1990
- A Paired Comparison Nested Logit Model of Individual Preference StructuresJournal of Marketing Research, 1989
- Constructing MDS Joint Spaces from Binary Choice Data: A Multidimensional Unfolding Threshold Model for Marketing ResearchJournal of Marketing Research, 1987
- Inference of Hierarchical Choice Processes from Panel DataJournal of Consumer Research, 1981
- Use of Binary Attributes in the Multiplicative Competitive Interactive Choice ModelJournal of Consumer Research, 1978