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- catalog abstract "Simulated annealing is a solution method in the field of combinatorial optimization based on an analogy with the physical process of annealing. The method is generally applicable, and can obtain solutions arbitrarily close to an optimum. However, finding high quality solutions can require large computational effort. The computational effort required can be greatly reduced by using the computational model of the Boltzmann machine. This is a neural network model which belongs to the class of connectionist models. It is characterized by massive parallelism and distributed representations. These features lead to a conceptually simple yet powerful model, which can be seen as an architectural blueprint for future parallel computers which can cope with higher order optimization problems such as learning. This book brings together in one volume the theory of simulated annealing and the model of the Boltzmann machine. It combines a mathematical treatment with a clear view of the applications which are already possible and the exciting developments which are beginning. It will be of great interest to graduate students and researchers in combinatorial optimization, numerical optimization, parallel processing, neural networks, computer science, artificial intelligence and automaton theory.".
- catalog alternative "Boltzmann machines.".
- catalog contributor b2753234.
- catalog contributor b2753235.
- catalog created "c1989.".
- catalog date "1989".
- catalog date "c1989.".
- catalog dateCopyrighted "c1989.".
- catalog description "Bibliography: p. 243-258.".
- catalog description "Simulated annealing is a solution method in the field of combinatorial optimization based on an analogy with the physical process of annealing. The method is generally applicable, and can obtain solutions arbitrarily close to an optimum. However, finding high quality solutions can require large computational effort. The computational effort required can be greatly reduced by using the computational model of the Boltzmann machine. This is a neural network model which belongs to the class of connectionist models. It is characterized by massive parallelism and distributed representations. These features lead to a conceptually simple yet powerful model, which can be seen as an architectural blueprint for future parallel computers which can cope with higher order optimization problems such as learning. This book brings together in one volume the theory of simulated annealing and the model of the Boltzmann machine. It combines a mathematical treatment with a clear view of the applications which are already possible and the exciting developments which are beginning. It will be of great interest to graduate students and researchers in combinatorial optimization, numerical optimization, parallel processing, neural networks, computer science, artificial intelligence and automaton theory.".
- catalog description "pt. I. Simulated annealing. 1. Combinatorial optimization -- 2. Simulated annealing -- 3. Asymptotic convergence -- 4. Finite-time approximation -- 5. Simulated annealing in practice -- 6. Parallel simulated annealing algorithms -- pt. II. Boltzmann machines. 7. Neural computing -- 8. Boltzmann machines -- 9. Combinatorial optimization and Boltzmann machines -- 10. Classification and Boltzmann machines -- 11. Learning and Boltzmann machines -- Appendix: The EUR100 problem instance.".
- catalog extent "xii, 272 p. :".
- catalog hasFormat "Simulated annealing and Boltzmann machines.".
- catalog identifier "0471921467 :".
- catalog isFormatOf "Simulated annealing and Boltzmann machines.".
- catalog isPartOf "Wiley-Interscience series in discrete mathematics and optimization".
- catalog issued "1989".
- catalog issued "c1989.".
- catalog language "eng".
- catalog publisher "Chichester [England] ; New York : Wiley,".
- catalog relation "Simulated annealing and Boltzmann machines.".
- catalog subject "519 19".
- catalog subject "Machine theory.".
- catalog subject "Neural computers.".
- catalog subject "QA402.5 .A22 1989".
- catalog subject "Simulated annealing (Mathematics)".
- catalog tableOfContents "pt. I. Simulated annealing. 1. Combinatorial optimization -- 2. Simulated annealing -- 3. Asymptotic convergence -- 4. Finite-time approximation -- 5. Simulated annealing in practice -- 6. Parallel simulated annealing algorithms -- pt. II. Boltzmann machines. 7. Neural computing -- 8. Boltzmann machines -- 9. Combinatorial optimization and Boltzmann machines -- 10. Classification and Boltzmann machines -- 11. Learning and Boltzmann machines -- Appendix: The EUR100 problem instance.".
- catalog title "Boltzmann machines.".
- catalog title "Simulated annealing and Boltzmann machines : a stochastic approach to combinatorial optimization and neural computing / Emile Aarts, Jan Korst.".
- catalog type "text".