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An Evolutionary Agent System for Mathematical Programming

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Book cover Advances in Computation and Intelligence (ISICA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4683))

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Abstract

During the last decade, both evolutionary computation and multi-agent systems have been used for solving decision and optimization problems. This paper proposes a new evolutionary agent system by incorporating evolu-tionary process into agent concepts for solving mathematical programming models. Each of the agents represents a candidate solution of the problem, and able to sense and act on the society. The fitness of the agent improves through co-evolutionary adaptation of society with the individual learning of the agents. The performance of the proposed algorithm is tested on five new benchmark problems along with existing 13 well-known problems, and the experimental results show convincing performance.

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Authors and Affiliations

  1. School of Information Technology and Electrical Engineering, University of New South Wales at the Australian Defence Force Academy, Canberra 2600, Australia

    Abu S. S. M. Barkat Ullah, Ruhul Sarker & David Cornforth

Authors
  1. Abu S. S. M. Barkat Ullah
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  2. Ruhul Sarker
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  3. David Cornforth
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Editor information

Lishan Kang Yong Liu Sanyou Zeng

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© 2007 Springer-Verlag Berlin Heidelberg

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Ullah, A.S.S.M.B., Sarker, R., Cornforth, D. (2007). An Evolutionary Agent System for Mathematical Programming. In: Kang, L., Liu, Y., Zeng, S. (eds) Advances in Computation and Intelligence. ISICA 2007. Lecture Notes in Computer Science, vol 4683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74581-5_20

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  • DOI: https://doi.org/10.1007/978-3-540-74581-5_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74580-8

  • Online ISBN: 978-3-540-74581-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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