Title :
A multi-objective genetic algorithms method for generating Pareto solutions in bilateral negotiations
Author :
Yang, Zichen ; Meng, Bo
Author_Institution :
Sch. of Comput. Sci., Wuhan Univ., China
Abstract :
Genetic algorithms are often well suited for multi-objective optimization problems. The paper reviews the methods for generating Pareto optimal solutions in bilateral negotiations. A method is put forward for generating Pareto solutions using multi-objective genetic algorithms; software is developed with Visual C++. Through a simulation study the method is proven to be practical and effective.
Keywords :
decision theory; genetic algorithms; negotiation support systems; Pareto solutions; bilateral negotiations; multi-objective genetic algorithms method; multi-objective optimization; simulation study; Business communication; Computer science; DC generators; Decision making; Genetic algorithms; Information analysis; Internet; Pareto analysis; Pareto optimization; Proposals;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020808
