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Simulated annealing (Mathematics). --- Simulated annealing (Mathematics) --- 519.8 --- Algorithm, Annealing --- Algorithm, Probabilistic exchange --- Annealing, Monte Carlo --- Annealing, Simulated --- Annealing algorithm --- Cooling, Statistical --- Exchange algorithm, Probabilistic --- Hill climbing, Probabilistic --- Monte Carlo annealing --- Probabilistic exchange algorithm --- Probabilistic hill climbing --- Relaxation, Stochastic --- Statistical cooling --- Stochastic relaxation --- Combinatorial optimization --- 519.8 Operational research --- Operational research --- Computer science --- Numerical methods of optimisation --- Discrete mathematics --- Programmation mathematique --- Optimisation combinatoire
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Simulated annealing (Mathematics) --- Algorithm, Annealing --- Algorithm, Probabilistic exchange --- Annealing, Monte Carlo --- Annealing, Simulated --- Annealing algorithm --- Cooling, Statistical --- Exchange algorithm, Probabilistic --- Hill climbing, Probabilistic --- Monte Carlo annealing --- Probabilistic exchange algorithm --- Probabilistic hill climbing --- Relaxation, Stochastic --- Statistical cooling --- Stochastic relaxation --- Combinatorial optimization
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Describes use of a geo-referenced interpretive map of major sediment types with Stellwagen Bank National Marine Sanctuary (SBNMS) and computer-aided decision support tools to identify potential conservation sites representing 1) all major sediment types and 2) derived habitat types based on both sediment and depth in the smallest amount of space. A type of mathematical optimization known as simulated annealing was used to identify potential sets of alternative habitat conservation areas within SBNMS for demonstration purposes.
Ocean bottom --- Marine sediments --- Habitat conservation --- Habitat conservation --- Spatial ecology --- Simulated annealing (Mathematics) --- Digital mapping. --- Maps --- Mathematical models. --- Maps --- Mathematical models. --- Geographic information systems --- Decision making --- Mathematical models. --- Stellwagen Bank National Marine Sanctuary (Mass.) --- Environmental conditions --- Maps --- Mathematical models.
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Computer science --- Numerical methods of optimisation --- Simulated annealing (Mathematics) --- 519.6 --- 681.3*G16 --- Algorithm, Annealing --- Algorithm, Probabilistic exchange --- Annealing, Monte Carlo --- Annealing, Simulated --- Annealing algorithm --- Cooling, Statistical --- Exchange algorithm, Probabilistic --- Hill climbing, Probabilistic --- Monte Carlo annealing --- Probabilistic exchange algorithm --- Probabilistic hill climbing --- Relaxation, Stochastic --- Statistical cooling --- Stochastic relaxation --- Combinatorial optimization --- Computational mathematics. Numerical analysis. Computer programming --- Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- Simulated annealing (Mathematics). --- 681.3*G16 Optimization: constrained optimization; gradient methods; integer programming; least squares methods; linear programming; nonlinear programming (Numericalanalysis) --- 519.6 Computational mathematics. Numerical analysis. Computer programming
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The book contains 15 chapters presenting recent contributions of top researchers working with Simulated Annealing (SA). Although it represents a small sample of the research activity on SA, the book will certainly serve as a valuable tool for researchers interested in getting involved in this multidisciplinary field. In fact, one of the salient features is that the book is highly multidisciplinary in terms of application areas since it assembles experts from the fields of Biology, Telecommunications, Geology, Electronics and Medicine.
Simulated annealing (Mathematics) --- Algorithm, Annealing --- Algorithm, Probabilistic exchange --- Annealing, Monte Carlo --- Annealing, Simulated --- Annealing algorithm --- Cooling, Statistical --- Exchange algorithm, Probabilistic --- Hill climbing, Probabilistic --- Monte Carlo annealing --- Probabilistic exchange algorithm --- Probabilistic hill climbing --- Relaxation, Stochastic --- Statistical cooling --- Stochastic relaxation --- Combinatorial optimization --- Mathematical modelling
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This book provides the readers with the knowledge of Simulated Annealing and its vast applications in the various branches of engineering. We encourage readers to explore the application of Simulated Annealing in their work for the task of optimization.
Simulated annealing (Mathematics) --- Algorithm, Annealing --- Algorithm, Probabilistic exchange --- Annealing, Monte Carlo --- Annealing, Simulated --- Annealing algorithm --- Cooling, Statistical --- Exchange algorithm, Probabilistic --- Hill climbing, Probabilistic --- Monte Carlo annealing --- Probabilistic exchange algorithm --- Probabilistic hill climbing --- Relaxation, Stochastic --- Statistical cooling --- Stochastic relaxation --- Combinatorial optimization --- Mathematical modelling
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