Optimization Using a New Bio-inspired Approach

Xiang Feng; Francis Lau; Daqi Gao

Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1

Research Article

Optimization Using a New Bio-inspired Approach

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@INPROCEEDINGS{10.1007/978-3-642-02466-5_3,
    author={Xiang Feng and Francis Lau and Daqi Gao},
    title={Optimization Using a New Bio-inspired Approach},
    proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1},
    proceedings_a={COMPLEX PART 1},
    year={2012},
    month={5},
    keywords={Bio-inspired algorithm multi-objective optimization molecular mechanics algorithm (MMA) molecular dynamics},
    doi={10.1007/978-3-642-02466-5_3}
}

Xiang Feng
Francis Lau
Daqi Gao
Year: 2012
Optimization Using a New Bio-inspired Approach
COMPLEX PART 1
Springer
DOI: 10.1007/978-3-642-02466-5_3

Xiang Feng¹^,*, Francis Lau²^,*, Daqi Gao¹^,*

1: East China University of Science and Technology
2: The University of Hong Kong

*Contact email: xfeng@ecust.edu.cn, fcmlau@cs.hku.hk, gaodaqi@ecust.edu.cn

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 (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.

Keywords: Bio-inspired algorithm multi-objective optimization molecular mechanics algorithm (MMA) molecular dynamics

Published: 2012-05-11

: http://dx.doi.org/10.1007/978-3-642-02466-5_3