By Pedro Larrañaga,José A. Lozano
this article constitutes the 1st compilation and assessment of the concepts and functions of this new software for appearing evolutionary computation. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is obviously divided into 3 elements. half I is devoted to the principles of EDAs. during this half, after introducing a few probabilistic graphical types - Bayesian and Gaussian networks - a evaluation of current EDA methods is gifted, in addition to a few new tools in keeping with extra versatile probabilistic graphical types. A mathematical modeling of discrete EDAs can also be provided. half II covers a number of functions of EDAs in a few classical optimization difficulties: the vacationing salesman challenge, the activity scheduling challenge, and the knapsack challenge. EDAs also are utilized to the optimization of a few famous combinatorial and non-stop services. half III offers the program of EDAs to unravel a few difficulties that come up within the computing device studying box: function subset choice, function weighting in K-NN classifiers, rule induction, partial abductive inference in Bayesian networks, partitional clustering, and the quest for optimum weights in synthetic neural networks.
Estimation of Distribution Algorithms: a brand new instrument for Evolutionary Computation is an invaluable and fascinating software for researchers operating within the box of evolutionary computation and for engineers who face real-world optimization difficulties. This ebook could even be utilized by graduate scholars and researchers in laptop technological know-how.
`... i beg people who find themselves attracted to EDAs to review this well-crafted booklet today.' David E. Goldberg, collage of Illinois Champaign-Urbana.
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Extra info for Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation (Genetic Algorithms and Evolutionary Computation)
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation (Genetic Algorithms and Evolutionary Computation) by Pedro Larrañaga,José A. Lozano