International Journal of Swarm Intelligence and Evolutionary Computation

International Journal of Swarm Intelligence and Evolutionary Computation
Open Access

ISSN: 2090-4908

Huamin Jia

  • Research Article
    Multiobjective Imperialist Competitive Algorithm for Solving Nonlinear Constrained Optimization Problems
    Author(s): Chun An Liu and Huamin JiaChun An Liu and Huamin Jia

    Nonlinear Constrained Optimization Problem (NCOP) has been arisen in a diverse range of sciences such as portfolio, economic management, airspace engineering and intelligence system etc. In this paper, a new multiobjective imperialist competitive algorithm for solving NCOP is proposed. First, we review some existing excellent algorithms for solving NOCP; then, the nonlinear constrained optimization problem is transformed into a bi objective optimization problem. Second, in order to improve the diversity of evolution country swarm and help the evolution country swarm to approach or land into the feasible region of the search space, three kinds of different methods of colony moving toward their relevant imperialist are given. Thirdly, the new operator for exchanging position of the imperialist and colony is given similar as a recombination operator in genetic algorithm to enrich the explor.. Read More»
    DOI: 10.4172/2090-4908.1000172

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