Scalable optimization via probabilistic modeling from algorithms to applications / Martin Pelikan, Kumara Sastry, Erick Cantu-Paz (eds.).

SeriesStudies in computational intelligence, 1860-949x ; v. 33
Contents Introduction / Martin Pelikan, Kumara Sastry, Erick Cantú-Paz -- Factorized distribution algorithm and the minimum relative entropy principle / Heinz Mühlenbein, Robin Höns -- Linkage learning via probabilistic modeling in the extended compact genetic algorithm (ECGA) / Georges R. Harik, Fernando G. Lobo, Kumara Sastry -- Hierarchical Bayesian optimization algorithm / Martin Peilkan, David E. Goldberg -- Numerical optimization of real-valued estimation-of-distribution algorithms / Peter A.N. Bosman, Dirk Thierens -- Survey of probabilistic model building genetic programming / Yin Shan ... [et al.] -- Efficiency enhancement of estimation of distribution algorithms / Kumara Sastry, Martin Pelikan, David E. Goldberg -- Design of parallel estimation of distribution algorithms / Jiri Ocenasek ... [et al.] -- Incorporating a priori knowledge in probabilistic-model based optimization / Shumeet Baluja -- Multiobjective estimation of distribution algorithms / Martin Pelikan, Kumara Sastry, David E. Goldberg -- Effective and reliable online classification combining XCS with EDA mechanisms / Martin Butz ... [et al.] -- Military antenna design using a simple genetic algorithm and hBOA / Tian-Li Yu, Scott Santarelli, David E. Goldberg -- Feature subset selection with hybrids of filters and evolutionary algorithms / Erick Cantú-Paz -- BOA for nurse scheduling / Jingpeng Lu, Uwe Aicklin -- Searching for ground states of Ising spin glasses with hierarchical BOA and cluster exact approximation / Martin Pelikan, Alexander K. Hartmann.
Bibliography noteIncludes bibliographical references.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2006928618
ISBN3540349537 (acid-free paper)
ISBN9783540349532 (acid-free paper)

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