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Combining Meta-Heuristics to Solve the Rook Problem
Timisoara, Romania September 26-September 29
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SYNASC.2006.25Eighth International Symposium on Sym ...
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Camelia-M. Pintea, 'Babes-Bolyai' University, Romania
Camelia Chira, 'Babes-Bolyai' University, Romania
D. Dumitrescu, 'Babes-Bolyai' University, Romania
The combination of various meta-heuristics to solve NP-hard problems has great potential to produce good results. Ant algorithms and Multi-Agent System are proposed to solve a chess problem. The problem is about how to place n rooks on a chessboard so that they are all mutually non-attacking. The introduced algorithms produce reasonable results and have several advantages. A combination between the two meta-heuristics is presented and some possible crossover improvements of the proposed algorithms are suggested.
Citation:
Camelia-M. Pintea, Camelia Chira, D. Dumitrescu, "Combining Meta-Heuristics to Solve the Rook Problem," synasc, pp.239-243, Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC'06), 2006
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