1. A Multi-Objective Coordinative Optimization Model and its Cultural Immune Algorithm
- Author
-
Ming Hao Qi, Kai Yin, Chun Guang Chang, and Wan Li
- Subjects
education.field_of_study ,Single objective ,Engineering ,Optimization problem ,business.industry ,Population ,General Engineering ,E-commerce ,education ,business ,Algorithm ,Profit (economics) - Abstract
To improve E-Commerce recommendation efficiency for multi-consumer population, coordinative optimization problem for multi-consumer purchase is studied. Multi-objective coordinative optimization model for multi-consumer purchase in E-commerce (MCOMMPE) is established, the optimization objectives consist of maximizing purchase probability, profit, green product orientation; minimizing lost consumer number; keeping equalization among varied purchase schemes. To solve easily, MCOMMPE is transformed into single objective optimization model. Cultural Immune Algorithm (CIA) is studied, affinity degree calculating, clone selecting, antibody population space and belief space are studied in detail, and the basic steps of CIA are designed. The validity of MCOMMPE and its CIA are validated.
- Published
- 2014