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A novel hybrid meta-heuristic algorithm based on black hole and harmony search for fuzzy clustering problem

Chia sẻ: Vinh Nguyen | Ngày: | Loại File: PDF | Số trang:7

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In this paper, a new hybrid meta-heuristic algorithm for FCP called BHHS which combines the power of existing meta-heuristic frameworks such as Black Hole and Harmony Search is proposed. These two algorithms cooperate and support each other. The Black Hole part of the algorithm has the goal to find good candidate solution while the Harmony Search part has the goal to generate new candidate solutions for Black Hole when the event horizon of the Black Hole occurs. In addition, new best solutions of these two components are exchanged with each other to improve the quality of the search. The experiments on the benchmark UCI Machine Learning datasets indicate that the proposed framework outperforms the recent state-of-art algorithms for this problem.

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Nội dung Text: A novel hybrid meta-heuristic algorithm based on black hole and harmony search for fuzzy clustering problem

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