A Novel Hybrid Flower Pollination Algorithm with Chaotic Harmony Search for Solving Sudoku Puzzles

A Novel Hybrid Flower Pollination Algorithm with Chaotic Harmony Search for Solving Sudoku Puzzles

Автор: Osama Abdel-Raouf, Ibrahim El-henawy, Mohamed Abdel-Baset

Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs

Статья в выпуске: 3 vol.6, 2014 года.

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Flower Pollination algorithm (FPA) is a new nature-inspired algorithm, based on the characteristics of flowering plants.In this paper, a new hybrid optimization method called improved Flower Pollination Algorithm with Chaotic Harmony Search (FPCHS) is proposed. The method combines the standard Flower Pollination algorithm (FPA) with the chaotic Harmony Search (HS) algorithm to improve the searching accuracy. The FPCHS algorithm is used to solve Sudoku puzzles. Numerical results show that the FPCHS is accurate and efficient in comparison with standard Harmony Search, (HS) algorithm.

Flower pollination algorithm, Harmony search, meta-heuristics, optimization, Sudoku, chaos, evolutionary algorithms

Короткий адрес: https://sciup.org/15014636

IDR: 15014636

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