Approach for Negotiation Problems in Multi-Agent Systems for DC Micro Grid Using Multi-Objective Evolutionary Algorithms

Approach for Negotiation Problems in Multi-Agent Systems for DC Micro Grid Using Multi-Objective Evolutionary Algorithms

The work is devoted to solve allocation task problem in multi agents systems using multi-objective genetic algorithms and comparing the technique with methods used in game theories. The paper shows the main advantages of genetic algorithms and the way to apply a parallel approach dividing the popula...

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Veröffentlicht in:Applied Mechanics and Materials 2015-01, Vol.713-715 (Mechatronics Engineering and Modern Information Technologies in Industrial Engineering), p.2106-2109
Hauptverfasser: Mauledoux, Mauricio, Caldas, Oscar I., Mejía-Ruda, Edilberto
Format: Artikel
Sprache:eng
Schlagworte:
Allocations
Genetic algorithms
Multiagent systems
Multiple objective analysis
Negotiations
Optimization
Pareto optimality
Tasks
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Zusammenfassung:The work is devoted to solve allocation task problem in multi agents systems using multi-objective genetic algorithms and comparing the technique with methods used in game theories. The paper shows the main advantages of genetic algorithms and the way to apply a parallel approach dividing the population in sub-populations saving time in the search and expanding the coverage of the solution in the Pareto optimal space.
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.713-715.2106