An agent-based environment for solving global optimization problems cooperatively

Aydemir, Fatma Başak and Günay, Akın and Öztoprak, Figen and Birbil, Ş. İlker and Yolum, Pınar (2011) An agent-based environment for solving global optimization problems cooperatively. (Submitted)

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This paper introduces a new multiagent environment, MANGO, developed for solving global optimization problems. The strength of the environment is its flexible structure based on communicating software agents that try 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. In one extreme, MANGO welcomes an individual noncooperating agent, which is basically the traditional way of solving a global optimization problem. In 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, and give 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:18047
Deposited By:Ş. İlker Birbil
Deposited On:30 Dec 2011 14:21
Last Modified:07 Dec 2012 23:39

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