Title :
Multiobjective evolutionary algorithm MOEA an approach for solving MAS multiatribute allocation task
Author :
Mauledoux, Mauricio ; Shkodyrev, Viacheslav
Author_Institution :
Distrib. Intell. Syst. Dept., State Polytech. Univ., St. Petersburg, St. Petersburg, Russia
Abstract :
The work is devoted to solve distributed task allocation task problem in group of agents with multi-objective genetic algorithms. The paper introduce the approach to select the correct stopping criterion for multi-objective genetic algorithms and the way to apply a new genetic operator using the solution information of the other agents for save time in the search of the optimal space in a group of agents.
Keywords :
distributed processing; genetic algorithms; multi-agent systems; MAS multiatribute allocation task; MOEA; distributed task allocation task problem; genetic operator; multiobjective evolutionary algorithm; multiobjective genetic algorithm; stopping criterion; Aggregates; Artificial intelligence; Decision making; Evolutionary computation; Genetic algorithms; Intelligent agent; Intelligent systems; Pareto optimization; Stochastic processes; Uncertainty; Genetic algorithms; Multi agent system; component; multi-objective optimization;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451953
