By Angel Kuri-Morales, Edwin Aldana-Bobadilla (auth.), Félix Castro, Alexander Gelbukh, Miguel González (eds.)
The two-volume set LNAI 8265 and LNAI 8266 constitutes the court cases of the twelfth Mexican foreign convention on man made Intelligence, MICAI 2013, held in Mexico urban, Mexico, in November 2013. the entire of eighty five papers offered in those court cases have been conscientiously reviewed and chosen from 284 submissions. the 1st quantity bargains with advances in man made intelligence and its functions and is dependent within the following 5 sections: common sense and reasoning; knowledge-based structures and multi-agent structures; usual language processing; desktop translation and bioinformatics and scientific purposes. the second one quantity offers with advances in smooth computing and its purposes and is based within the following 8 sections: evolutionary and nature-inspired metaheuristic algorithms; neural networks and hybrid clever platforms; fuzzy structures; laptop studying and trend reputation; facts mining; desktop imaginative and prescient and snapshot processing; robotics, making plans and scheduling and emotion detection, sentiment research and opinion mining.
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Extra info for Advances in Soft Computing and Its Applications: 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, Mexico City, Mexico, November 24-30, 2013, Proceedings, Part II
A universal eclectic genetic algorithm for constrained optimization. In: Proceedings of the 6th European Congress on Intelligent Techniques and Soft Computing, vol. 1 (1998) The Best Genetic Algorithm I 15 27. : A methodology for the statistical characterization of genetic algorithms. C. ) MICAI 2002. LNCS (LNAI), vol. 2313, pp. 79–88. Springer, Heidelberg (2002) 28. : Evolutionary algorithms in theory and pactice: evolution strategies, evolutionary programming, genetic algorithms, ch. 4, pp.
In: Grefenstette, J. ) Proceedings of the 1st International Conference on Genetic Algorithms and their Applications, pp. 101–111. J. (1985) 11. : A Study of Crossover Operators in Genetic Programming. , Zemankova, M. ) ISMIS 1991. LNCS, vol. 542, pp. 409–418. Springer, Heidelberg (1991) 12. : Self-Adaptation in Genetic Algorithms. , Bourgine, P. ) Toward a Practice of Autonomous Systems: Proceedings of the First European Conference on Artificial Life, pp. 263–271. MIT Press (1991) 13. : Evolutionary Algorithms in Theory and Practice.
16–29, 2013. © Springer-Verlag Berlin Heidelberg 2013 The Best Genetic Algorithm II 1 17 Introduction Optimization is an all pervading problem in engineering and the sciences. It is, therefore, important to rely on an optimization tool of proven efficiency and reliability. In this paper we compare a set of optimization algorithms which were analyzed in  over a set of unconstrained selected functions in ℜ × ℜ . Here we extend our study in two ways: First, we consider a, for all practical purposes, unlimited reservoir of unconstrained functions.