A BBO based Procedure for Evolving Fuzzy Rules of Relaxed-criteria Negotiation in Grid Resource Allocation
Designing the negotiation agents and equipped them with the
fuzzy decision controller to determine the relaxation amount in
the face of intense grid market pressure leads to enhance both
success rate and speed of negotiation. However, the market-
oriented grids are unpredictable as new opportunities and threats
are constantly being introduced as grid resource consumers and
owners enter and leave a market. According to the grid market
dynamics, it is needed to design adapting and self organizing
negotiation agents that not only have the flexibility of relaxing
the bargaining criteria using fuzzy rules but also have the ability
to evolve their structures by learning and adapting new relaxed-
criteria fuzzy rules. The impetus of this work is designing new
negotiation agents in name Ev_MBDNAs that have two
distinguishing features: 1) relaxing their bargaining term using
Fuzzy Grid Market Pressure Determination System and 2)
evolving their structures by learning new relaxed-criteria fuzzy
rules to enhance their negotiation performance as they participate
in a series of e_markets. The second feature of Ev_MBDNAs is
provided by designing an evolutionary procedure that invokes
Biogeography-based optimization (BBO) algorithm. In our
experiments, we compare the proposed Ev_MBDNAs with
EMBDNAs (i.e., negotiation agents with fixed relaxed-criteria
fuzzy rules). The results show that by designing a BBO-based
evolutionary procedure for learning effective relaxed-criteria
fuzzy rules, Ev_MBDNAs generally outperformed EMBDNAs in
different types of e_markets
Keywords: Grid resource allocation; Automated negotiation; Intelligent agent; Fuzzy decision controller; Biogeography-based optimization (BBO)
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ABOUT THE AUTHORS
Sepideh Adabi
Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran
Sahar Adabi
Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran
Sepideh Adabi
Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran
Sahar Adabi
Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran