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" Computational Intelligence for Optimization "
by Nirwan Ansari, Edwin Hou.
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BL
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| Record Number
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734033
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b553859
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| Main Entry
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by Nirwan Ansari, Edwin Hou.
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| Title & Author
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Computational Intelligence for Optimization\ by Nirwan Ansari, Edwin Hou.
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| Publication Statement
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Boston, MA: Springer US : Imprint : Springer, 1997
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| Page. NO
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(240 pages)
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| ISBN
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1461379075
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: 1461563313
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: 9781461379072
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: 9781461563310
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| Contents
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1 Introduction --;1.1 Computational Complexity --;1.2 Survey of Optimization Techniques --;1.3 Organization of the Book --;1.4 Exploratory Problems --;2 Heuristic Search Methods --;2.1 Graph Search Algorithm --;2.2 Heuristic Functions --;2.3 A* Search Algorithm --;2.4 Exploratory Problems --;3 Hopfield Neural Networks --;3.1 Discrete Hopfield Net --;3.2 Continuous Hopfield Net --;3.3 Content-Addressable Memory --;3.4 Combinatorial Optimization --;3.5 Exploratory Problems --;4 Simulated Annealing and Stochastic Machines --;4.1 Statistical Mechanics and The Metropolis Algorithm --;4.2 Simulated Annealing --;4.3 Stochastic Machines --;4.4 Exploratory Problems --;5 Mean Field Annealing --;5.1 Mean Field Approximation --;5.2 Saddle-Point Expansion --;5.3 Stability --;5.4 Parameters of the Mean Field Net --;5.5 Graph Bipartition --;An Example --;5.6 Exploratory Problems --;6 Genetic Algorithms --;6.1 Simple genetic Operators --;6.2 An Illustrative Example --;6.3 Why Do Genetic Algorithms Work? --;6.4 Other Genetic Operators --;6.5 Exploratory Problems --;7 The Traveling Salesman Problem --;7.1 Why Does the Hopfield Net Frequently Fail to Produce Valid Solutions? --;7.2 Solving the TSP with Heuristic Search Algorithms --;7.3 Solving the TSP with Simulated Annealing --;7.4 Solving the TSP with Genetic Algorithms --;7.5 An Overview of Eigenvalue Analysis --;7.6 Derivation of?1 of the Connection Matrix --;7.7 Exploratory Problems --;8 Telecommunications --;8.1 Satellite Broadcast Scheduling --;8.2 Maximizing Data Throughput in An Integrated TDMA Communications System --;8.3 Summary --;8.4 Exploratory Problems --;9 Point Pattern Matching --;9.1 Problem Formulation --;9.2 The Simulated Annealing Framework --;9.3 Evolutionary Programming --;9.4 Summary --;9.5 Exploratory Problems --;10 Multiprocessor Scheduling --;10.1 Model and Definitions --;10.2 Mean Field Annealing --;10.3 Genetic Algorithm --;10.4 Exploratory Problems --;11 Job Shop Scheduling --;11.1 Types of Schedules --;11.2 A Genetic Algorithm for JSP --;11.3 Simulation Results --;11.4 Exploratory Problems --;References.
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| Abstract
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This book is intended to provide a technical description on the state-of-the-art development in advanced optimization techniques, specifically heuristic search, neural networks, simulated annealing, stochastic machines, mean field theory, and genetic algorithms, with emphasis on mathematical theory, implementa- tion, and practical applications.
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| Subject
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Mathematical optimization.
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| LC Classification
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QA402.5B965 1997
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| Added Entry
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Edwin Hou
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Nirwan Ansari
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