Research on Multi-Lateral Multi-Issue Negotiation Based on Hybrid Genetic Algorithm in E-Commerce
To enable agents negotiate more efficiently in multilateral multi-issue cooperative negotiations in multi-agent based on e-commerce,a hybrid genetic algorithm (HGA) is presented and applied in the negotiation.After compare of 1000 times of experiments for four kinds of genetic algorithm,the result shows that standard genetic algorithm (SGA) averagely needs negotiation 185 times,genetic algorithm based on Metropolis rule (MGA) averagely needs 176 times,adaptive genetic algorithm (AGA) averagely needs 169 times,while the HGA averagely needs only 153 times.The HGA can gain optimal negotiation result more efficiently than the other three kinds of genetic algorithms in multi-lateral multi-issue cooperation negotiation.
E-commerce agent multi-literal multi-issue negotiation hybrid genetic algorithm
Qiang Song Han Zhang
Computer Department Anyang Institute of Technology Anyang,China
国际会议
重庆
英文
706-709
2010-09-17（万方平台首次上网日期，不代表论文的发表时间）