Abstract
There is growing interest in bio(logy)-inspired approaches that are inspired by the principles of biology and that can solve difficult problems. In this paper, we propose a new computational algorithm that is inspired by molecular mechanics for the solution of complex problems. There is a deep and useful connection between mechanics mechanics and combinatorial optimization. This connection exposes new information and allows an unfamiliar perspective on traditional optimization problems and approaches. The alternative of molecular mechanics algorithm (MMA) to traditional approaches has the advantages of inherent parallelism and the ability to deal with a variety of complicated social interactions, autonomous behaviors and multiple objectives.
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© 2009 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Feng, X., Lau, F.C.M., Gao, D. (2009). Optimization Using a New Bio-inspired Approach. In: Zhou, J. (eds) Complex Sciences. Complex 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02466-5_3
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DOI: https://doi.org/10.1007/978-3-642-02466-5_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02465-8
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