A Multi-Objective Coordinative Optimization Model and its Cultural Immune Algorithm

Chun Guang Chang; Wan Li; Kai Yin; Ming Hao Qi

doi:10.4028/www.scientific.net/AMR.989-994.1887

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994A Multi-Objective Coordinative Optimization Model...

A Multi-Objective Coordinative Optimization Model and its Cultural Immune Algorithm

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.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

1887-1890

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.1887

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Online since:

July 2014

Authors:

Chun Guang Chang*, Wan Li, Kai Yin, Ming Hao Qi

Keywords:

Coordinative Optimization, Cultural Immune Algorithm, E-Commerce, Multi-Consumer

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* - Corresponding Author

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