Title :
Multiobjective evolutionary algorithm MOEA to solve task allocation problems in multi agents systems
Author :
Mauledoux, Mauricio ; Shkodyrev, Viacheslav
Author_Institution :
Distrib. Intell. Syst. Dept., State Polytech. Univ., St. Petersburg, Russia
Abstract :
The work is devoted to solve allocation task problem in the distributed way in multi agents systems with multi-objective genetic algorithms. The paper shows the main advantages of 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 a expand the solution of the optimal space.
Keywords :
genetic algorithms; multi-agent systems; task analysis; MOEA; multi agents systems; multiobjective evolutionary algorithm; multiobjective genetic algorithms; task allocation; Aggregates; Artificial intelligence; Decision making; Evolutionary computation; Genetic algorithms; Intelligent agent; Intelligent systems; Pareto optimization; 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.2010.5451885
