A Multi-Objective Coordinative Optimization Model and its Cultural Immune Algorithm-Reference-Cited by-同舟云学术

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

Published:2014-07 Issue: Volume:989-994 Page:1887-1890
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Chang Chun Guang¹,Li Wan¹,Yin Kai¹,Qi Ming Hao¹

Affiliation:

1. Shenyang Jianzhu University

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.989-994.1887.pdf

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