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While the problems getting more complex, the importance of CI is increasing. The trend of development of CI techniques will continue until systems as intelligent as human are created. , 2004, Introduction to machine learning, Chap. 11, The MIT Press, Cambridge, London, England. , 2004, Autonomous agents and computational intelligence: the future of AI application for petroleum industry, Expert Systems with Applications, 26, 3–8. P, 1997, Evolutionary computation: comments on the history and current state, IEEE Transactions on Evolutionary Computation, 1 (1), 3–17.

46] Conceptual Design Oh et al. [83], Pedrycz and Reformat [99], Pedrycz [97], Park et al. [91], Optimization Wilson et al. [141] Manufacturing Karr [53], Castellano et al. [8] Computer systems Riziotis and Vasilakos [108] Photonics technology Ruan [114] Sensory Evaluation Stathakis and Athanassios [129] Image Classification Sun and Kalenchuk [130] Conceptual Design Dasey and Tzanakou Medicine Duch and Hayashi [27] Classification and prediction Vasilakos et al. [134] Network Innocent et al. [47] Research projects Duch et al.

1 Encoding While using GAs, encoding a solution of a problem into a chromosome is very important. Various encoding methods have been created for particular problems to provide effective implementation of GAs for the last 10 years. According to what kind of symbol is used as the alleles of a gene, the encoding methods can be classified as follows: C. Kahraman, ˙I. Kaya, and D. 8 The fundamental cycle and operations of basic GAs [38] • Binary encoding, • Real number encoding, • Integer or literal permutation encoding, • General data structure encoding.

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