Titlebook: Markov Networks in Evolutionary Computation; Siddhartha Shakya,Roberto Santana Book 2012 Springer Berlin Heidelberg 2012 Estimation of Dis

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Adaptive Evolutionary Algorithm Based on a Cliqued Gibbs Sampling over Graphical Markov Model Structned for 48, 50, 99 and 100 variables, and compared to Univariate Marginal Distribution Algorithm (UMDA). The performance of the two algorithms compared to UMDA is equal for OneMax and ZeroMax functions. The ATC-EDA and AETC-EDA are better than the UMDA for the other 3 functions.

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Book 2012elopments to date in the progressive introduction of Markov networks based EDAs are reviewed in the book. Hot current research trends and future perspectives in the enhancement and applicability of EDAs are also covered.? The contributions included in the book address topics as relevant as the appli

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Hisashi Handaving rise to Bradley’s regress. Written in a relatively non-technical style, the book offers a valuable resource for philosophers working on analytic metaphysics and ontology, as well as their graduate students..978-981-13-3068-1Series ISSN 0921-8599 Series E-ISSN 2542-8349

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ntemporary logic and semantics.”??.John Marenbon, Trinity College, University of Cambridge.?“Gyula Klima has been a towering figure in the field of medieval philosophy for decades. His influence comprises not only the scholarly results of his work, but also intense and generous mentorship of student

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Roberto Santana,Siddhartha Shakyantemporary logic and semantics.”??.John Marenbon, Trinity College, University of Cambridge.?“Gyula Klima has been a towering figure in the field of medieval philosophy for decades. His influence comprises not only the scholarly results of his work, but also intense and generous mentorship of student

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Siddhartha Shakya,Roberto Santanaly unified position attained by ancient Western thought, and if in its general presupposition it looks backward to Plato, and possibly to the oriental religions, it also looks forward to the modern ideal of a Whole wherein nothing is incoherent, nothing is left unexplained. Regrettably, this last ha