Summary
This chapter describes an algorithm for the tuning of a chess program which is based on Differential Evolution using adaptation and opposition based optimization mechanisms. The mutation control parameter F is adapted according to the deviation of search parameters in each generation. Opposition-based optimization is included in the initialization, and in the evolutionary process itself. In order to demonstrate the behaviour of our algorithm we tuned our BBChess chess program with a combination of adaptive and opposition-based optimization. Tuning results show that adaptive optimization with an opposition-based mechanism increases the robustness of the algorithm and has a comparable convergence to the algorithm which uses only adaptation optimization.
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Bošković, B., Greiner, S., Brest, J., Zamuda, A., Žumer, V. (2008). An Adaptive Differential Evolution Algorithm with Opposition-Based Mechanisms, Applied to the Tuning of a Chess Program. In: Chakraborty, U.K. (eds) Advances in Differential Evolution. Studies in Computational Intelligence, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68830-3_12
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DOI: https://doi.org/10.1007/978-3-540-68830-3_12
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