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

Mauricio Mauledoux; Edilberto Mejía-Ruda; Oscar I. Caldas

doi:10.4028/www.scientific.net/AMM.713-715.2106

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Approach for Negotiation Problems in Multi-Agent...

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

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

2106-2109

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.2106

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Online since:

January 2015

Authors:

Mauricio Mauledoux*, Edilberto Mejía-Ruda, Oscar I. Caldas

Keywords:

DC Micro-Grid, Multi-Agent System (MAS), Multi-Objective Optimization (MOP), Negotiation Problem, Task Allocation Problem

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