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

Call Number	519.2 P36S
Author	Pelikan, Martin
Title	Scalable optimization via probabilistic modeling : from algorithms to applications / Martin Pelikan, Kumara Sastry, Erick Cantu-Paz (eds.).
Publication	Berlin ; New York : Springer, c2006.
Physical Description	xx, 349 p. : ill. ; 24 cm.
Series	Studies in computational intelligence, 1860-949x ; v. 33
Contents	1. Introduction / Martin Pelikan, Kumara Sastry, Erick Cant�u-Paz -- 2. Factorized distribution algorithm and the minimum relative entropy principle / Heinz M�uhlenbein, Robin H�ons -- 3. Linkage learning via probabilistic modeling in the extended compact genetic algorithm (ECGA) / Georges R. Harik, Fernando G. Lobo, Kumara Sastry -- 4. Hierarchical Bayesian optimization algorithm / Martin Peilkan, David E. Goldberg -- 5. Numerical optimization of real-valued estimation-of-distribution algorithms / Peter A.N. Bosman, Dirk Thierens -- 6. Survey of probabilistic model building genetic programming / Yin Shan ... [et al.] -- 7. Efficiency enhancement of estimation of distribution algorithms / Kumara Sastry, Martin Pelikan, David E. Goldberg -- 8. Design of parallel estimation of distribution algorithms / Jiri Ocenasek ... [et al.] -- 9. Incorporating a priori knowledge in probabilistic-model based optimization / Shumeet Baluja -- 10. Multiobjective estimation of distribution algorithms / Martin Pelikan, Kumara Sastry, David E. Goldberg -- 11. Effective and reliable online classification combining XCS with EDA mechanisms / Martin Butz ... [et al.] -- 12. Military antenna design using a simple genetic algorithm and hBOA / Tian-Li Yu, Scott Santarelli, David E. Goldberg -- 13. Feature subset selection with hybrids of filters and evolutionary algorithms / Erick Cant�u-Paz -- 14. BOA for nurse scheduling / Jingpeng Lu, Uwe Aicklin -- 15. Searching for ground states of Ising spin glasses with hierarchical BOA and cluster exact approximation / Martin Pelikan, Alexander K. Hartmann.
Added Author	Pelikan, Martin. Sastry, Kumara. Cant�u-Paz, Erick.
Subject	Distribution (Probablility theory) Computer programs. GENETIC ALGORITHMS. Evolutionary computation. MACHINE LEARNING. COMBINATORIAL OPTIMIZATION.

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Contents

1. Introduction / Martin Pelikan, Kumara Sastry, Erick Cant�u-Paz -- 2. Factorized distribution algorithm and the minimum relative entropy principle / Heinz M�uhlenbein, Robin H�ons -- 3. Linkage learning via probabilistic modeling in the extended compact genetic algorithm (ECGA) / Georges R. Harik, Fernando G. Lobo, Kumara Sastry -- 4. Hierarchical Bayesian optimization algorithm / Martin Peilkan, David E. Goldberg -- 5. Numerical optimization of real-valued estimation-of-distribution algorithms / Peter A.N. Bosman, Dirk Thierens -- 6. Survey of probabilistic model building genetic programming / Yin Shan ... [et al.] -- 7. Efficiency enhancement of estimation of distribution algorithms / Kumara Sastry, Martin Pelikan, David E. Goldberg -- 8. Design of parallel estimation of distribution algorithms / Jiri Ocenasek ... [et al.] -- 9. Incorporating a priori knowledge in probabilistic-model based optimization / Shumeet Baluja -- 10. Multiobjective estimation of distribution algorithms / Martin Pelikan, Kumara Sastry, David E. Goldberg -- 11. Effective and reliable online classification combining XCS with EDA mechanisms / Martin Butz ... [et al.] -- 12. Military antenna design using a simple genetic algorithm and hBOA / Tian-Li Yu, Scott Santarelli, David E. Goldberg -- 13. Feature subset selection with hybrids of filters and evolutionary algorithms / Erick Cant�u-Paz -- 14. BOA for nurse scheduling / Jingpeng Lu, Uwe Aicklin -- 15. Searching for ground states of Ising spin glasses with hierarchical BOA and cluster exact approximation / Martin Pelikan, Alexander K. Hartmann.

Subject

Distribution (Probablility theory) Computer programs.

GENETIC ALGORITHMS.

Evolutionary computation.

MACHINE LEARNING.

COMBINATORIAL OPTIMIZATION.