Solving global optimization problems using MANGO

Günay, Akın and Öztoprak, Figen and Birbil, Ş. İlker and Yolum, Pınar (2009) Solving global optimization problems using MANGO. In: 3rd KES International Symposium on Agent and Multi-Agent Systems, Uppsala, Sweden

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Traditional approaches for solving global optimization problems generally rely on a single algorithm. The algorithm may be hybrid or applied in parallel. Contrary to traditional approaches, this paper proposes to form teams of algorithms to tackle global optimization problems. Each algorithm is embodied and ran by a software agent. Agents exist in a multiagent system and communicate over Our proposed MultiAgent ENvironment for Global Optimization (MANGO). Through Communication and cooperation, the agents complement each other in tasks that they cannot do on their own. This paper gives a formal description of MANGO and Outlines design principles for developing agents to execute Oil MANGO. Our case study shows the effectiveness of multiagent teams in solving global optimization problems.
Item Type: Papers in Conference Proceedings
Subjects: Q Science > QA Mathematics > QA075 Electronic computers. Computer science
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng.
Depositing User: Ş. İlker Birbil
Date Deposited: 02 Dec 2009 22:56
Last Modified: 26 Apr 2022 08:54

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