Friday 29th of March 2024
 

A BBO based Procedure for Evolving Fuzzy Rules of Relaxed-criteria Negotiation in Grid Resource Allocation


Sepideh Adabi and Sahar Adabi

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)

Download Full-Text


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


IJCSI Published Papers Indexed By:

 

 

 

 
+++
About IJCSI

IJCSI is a refereed open access international journal for scientific papers dealing in all areas of computer science research...

Learn more »
Join Us
FAQs

Read the most frequently asked questions about IJCSI.

Frequently Asked Questions (FAQs) »
Get in touch

Phone: +230 911 5482
Email: info@ijcsi.org

More contact details »