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An evolutionary algorithm coupled with the Hooke-Jeeves algorithm for tuning a chess evaluation function
TLDR
In a previous paper presented at CEC'2011, we reported the implementation of a chess engine based on evo- lutionary programming with a selection mechanism that relied on grandmaster's chess games. Expand
  • 7
An evolutionary algorithm for tuning a chess evaluation function
TLDR
This paper proposes a method for tuning the weights of the evaluation function of a chess program whose search engine is based on evolutionary programming. Expand
  • 4
An adaptive evolutionary algorithm based on typical chess problems for tuning a chess evaluation function
TLDR
This paper presents a method for adjusting weights of the evaluation function of a chess engine. Expand
  • 2
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A genetic algorithm with a mutation mechanism based on a Gaussian and uniform distribution to minimize addition chains for small exponents
TLDR
The purpose of this research is to minimize the length of an addition chain. Expand
  • 2
An evolutionary algorithm with a history mechanism for tuning a chess evaluation function
TLDR
We propose an evolutionary algorithm (i.e., evolutionary programming) for tuning the weights of a chess engine based on the number of positions solved from a number of chess grandmaster games. Expand
  • 2
Assessing the positional values of chess pieces by tuning neural networks' weights with an evolutionary algorithm
TLDR
We propose to use a neural network architecture based on unsupervised learning to obtain the positional values of the chess pieces based on specific features of each position. Expand
  • 2
An adaptive evolutionary algorithm based on tactical and positional chess problems to adjust the weights of a chess engine
TLDR
This paper employs an evolutionary algorithm to adjust the weights of the evaluation function of a chess engine. Expand