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Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies

Aydemir, Fatma Başak and Günay, Akın and Öztoprak, Figen and Birbil, Ş. İlker and Yolum, Pınar (2012) Multiagent cooperation for solving global optimization problems: an extendible framework with example cooperation strategies. (Accepted/In Press)

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Official URL: http://dx.doi.org/10.1007/s10898-012-0012-3

Abstract

This paper proposes the use of multiagent cooperation for solving global optimization problems through the introduction of a new multiagent environment, MANGO. The strength of the environment lays in itsflexible structure based on communicating software agents that attempt to solve a problem cooperatively. This structure allows the execution of a wide range of global optimization algorithms described as a set of interacting operations. At one extreme, MANGO welcomes an individual non-cooperating agent, which is basically the traditional way of solving a global optimization problem. At the other extreme, autonomous agents existing in the environment cooperate as they see fit during run time. We explain the development and communication tools provided in the environment as well as examples of agent realizations and cooperation scenarios. We also show how the multiagent structure is more effective than having a single nonlinear optimization algorithm with randomly selected initial points.

Item Type:Article
Uncontrolled Keywords:Multiagent Systems, Global Optimization, Cooperation
Subjects:Q Science > QA Mathematics > QA075 Electronic computers. Computer science
T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering > T57.6-57.97 Operations research. Systems analysis
ID Code:20382
Deposited By:Ş. İlker Birbil
Deposited On:07 Dec 2012 23:39
Last Modified:22 Jan 2014 22:25

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