Multi-issue negotiation research based on niched co-evolutionary genetic algorithm

被引：2
|
作者：
Yuan Yong [1 ]
Liang Yong-Quan [1 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Informat Sci & Engn, Qingdao 266510, Peoples R China
来源：
SNPD 2007: EIGHTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING, AND PARALLEL/DISTRIBUTED COMPUTING, VOL 1, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/SNPD.2007.433
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a simulation algorithm called SANCGA for bilateral multi-issue negotiation based on co-evolutionary genetic algorithm and isolated niche technique, an designs an experiment to simulate the co-evolutionary strategy learning process in an alternating offer negotiation scenario. The experiment results validate that SANCGA algorithm can form local niches in the strategy populations and generate an approximate Pareto optimal strategy set.
引用
收藏
页码：564 / +
页数：2
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