Optimization in Engineering Sciences
Subtitle: Approximate and Metaheuristic Methods
Publisher: Wiley & Sons, Incorporated, John; ISTE Ltd; John Wiley & Sons, Inc
Published: 2014
Language: eng
Number of pages: 446
ISBN-13: 9781848214989
Subjects: Engineering
Table of contents: title: List of Figures
pagenum: ix; title: List of Tables
pagenum: xiii; title: List of Algorithms
pagenum: xv; title: List of Acronyms
pagenum: xvii; title: Preface
pagenum: xix; title: Acknowledgements
pagenum: xxi; label: Chapter 1
title: Metaheuristics - Local Methods
pagenum: 1; label: 1.1
title: Overview
pagenum: 1; label: 1.2
title: Monte Carlo principle
pagenum: 6; label: 1.3
title: Hill climbing
pagenum: 12; label: 1.4
title: Taboo search
pagenum: 20; label: 1.4.1
title: Principle
pagenum: 20; label: 1.4.2
title: Greedy descent algorithm
pagenum: 20; label: 1.4.3
title: Taboo search method
pagenum: 23; label: 1.4.4
title: Taboo list
pagenum: 25; label: 1.4.5
title: Taboo search algorithm
pagenum: 26; label: 1.4.6
title: Intensification and diversification
pagenum: 30; label: 1.4.7
title: Application examples
pagenum: 31; label: 1.5
title: Simulated annealing
pagenum: 39; label: 1.5.1
title: Principle of thermal annealing
pagenum: 39; label: 1.5.2
title: Kirkpatrick's model of thermal annealing
pagenum: 41; label: 1.5.3
title: Simulated annealing algorithm
pagenum: 43; label: 1.6
title: Tunneling
pagenum: 46; label: 1.6.1
title: Tunneling principle
pagenum: 46; label: 1.6.2
title: Types of tunneling
pagenum: 48; label: 1.6.3
title: Tunneling algorithm
pagenum: 49; label: 1.7
title: GRASP methods
pagenum: 51; label: Chapter 2
title: Metaheuristics - Global Methods
pagenum: 53; label: 2.1
title: Principle of evolutionary metaheuristics
pagenum: 53; label: 2.2
title: Genetic algorithms
pagenum: 55; label: 2.2.1
title: Biology breviary
pagenum: 55; label: 2.2.2
title: Features of genetic algorithms
pagenum: 57; label: 2.2.3
title: General structure of a GA
pagenum: 73; label: 2.2.4
title: On the convergence of GA
pagenum: 77; label: 2.2.5
title: How to implement a genetic algorithm
pagenum: 84; label: 2.3
title: Hill climbing by evolutionary strategies
pagenum: 100; label: 2.3.1
title: Climbing by the steepest ascent
pagenum: 101; label: 2.3.2
title: Climbing by the next ascent
pagenum: 104; label: 2.3.3
title: Hill climbing by group of alpinists
pagenum: 106; label: 2.4
title: Optimization by ant colonies
pagenum: 107; label: 2.4.1
title: Ant colonies
pagenum: 107; label: 2.4.2
title: Basic optimization algorithm by ant colonies
pagenum: 110; label: 2.4.3
title: Pheromone trail update
pagenum: 118; label: 2.4.4
title: Systemic ant colony algorithm
pagenum: 122; label: 2.4.5
title: Traveling salesman example
pagenum: 128; label: 2.5
title: Particle swarm optimization
pagenum: 132; label: 2.5.1
title: Basic metaheuristic
pagenum: 132; label: 2.5.2
title: Standard PSO algorithm
pagenum: 141; label: 2.5.3
title: Adaptive PSO algorithm with evolutionary strategy
pagenum: 146; label: 2.5.4
title: Fireflies algorithm
pagenum: 163; label: 2.5.5
title: Bats algorithm
pagenum: 173; label: 2.5.6
title: Bees algorithm
pagenum: 182; label: 2.5.7
title: Multivariable prediction by PSO
pagenum: 194; label: 2.6
title: Optimization by harmony search
pagenum: 207; label: 2.6.1
title: Musical composition and optimization
pagenum: 207; label: 2.6.2
title: Harmony search model
pagenum: 208; label: 2.6.3
title: Standard harmony search algorithm
pagenum: 212; label: 2.6.4
title: Application example
pagenum: 215; label: Chapter 3
title: Stochastic Optimization
pagenum: 219; label: 3.1
title: Introduction
pagenum: 219; label: 3.2
title: Stochastic optimization problem
pagenum: 221; label: 3.3
title: Computing the repartition function of a random variable
pagenum: 222; label: 3.4
title: Statistical criteria for optimality
pagenum: 230; label: 3.4.1
title: Case of totally admissible solutions
pagenum: 231; label: 3.4.2
title: Case of partially admissible solutions
pagenum: 234; label: 3.5
title: Examples
pagenum: 240; label: 3.6
title: Stochastic optimization through games theory
pagenum: 245; label: 3.6.1
title: Principle
pagenum: 245; label: 3.6.2
title: Wald strategy (maximin)
pagenum: 247; label: 3.6.3
title: Hurwicz strategy
pagenum: 248; label: 3.6.4
title: Laplace strategy
pagenum: 249; label: 3.6.5
title: Bayes-Laplace strategy
pagenum: 249; label: 3.6.6
title: Savage strategy
pagenum: 250; label: 3.6.7
title: Example
pagenum: 251; label: Chapter 4
title: Multi-Criteria Optimization
pagenum: 253; label: 4.1
title: Introduction
pagenum: 253; label: 4.2
title: Introductory examples
pagenum: 255; label: 4.2.1
title: Choosing the first job
pagenum: 255; label: 4.2.2
title: Selecting an IT tool
pagenum: 256; label: 4.2.3
title: Setting the production rate of a continuous process plant
pagenum: 256; label: 4.3
title: Multi-criteria optimization problems
pagenum: 257; label: 4.3.1
title: Two subclasses of problems
pagenum: 257; label: 4.3.2
title: Dominance and Pareto optimality
pagenum: 262; label: 4.4
title: Model solving methods
pagenum: 265; label: 4.4.1
title: Classifications
pagenum: 265; label: 4.4.2
title: Substitution-based methods
pagenum: 266; label: 4.4.3
title: Aggregation-based methods
pagenum: 270; label: 4.4.4
title: Other methods
pagenum: 282; label: 4.5
title: Two objective functions optimization for advanced control systems
pagenum: 292; label: 4.5.1
title: Aggregating identification with the design of a dynamical control system
pagenum: 292; label: 4.5.2
title: Aggregating decision model identification with the supervision
pagenum: 302; label: 4.6
title: Notes and comments
pagenum: 307; label: Chapter 5
title: Methods and Tools for Model-Based Decision-Making
pagenum: 309; label: 5.1
title: Introduction
pagenum: 309; label: 5.2
title: Introductory examples
pagenum: 310; label: 5.2.1
title: Choosing a job: probabilistic case
pagenum: 310; label: 5.2.2
title: Starting a business
pagenum: 311; label: 5.2.3
title: Selecting an IT engineer
pagenum: 311; label: 5.3
title: Decisions and decision activities. Basic concepts
pagenum: 313; label: 5.3.1
title: Definition
pagenum: 313; label: 5.3.2
title: Approaches
pagenum: 314; label: 5.4
title: Decision analysis
pagenum: 316; label: 5.4.1
title: Preliminary analysis: preparing the choice
pagenum: 317; label: 5.4.2
title: Making a choice: structuring and solving decision problems
pagenum: 330; label: 5.5
title: Notes and comments
pagenum: 347; label: 5.6
title: Other remarks/comments
pagenum: 347; label: Chapter 6
title: Decision-Making - Case Study Simulation
pagenum: 351; label: 6.1
title: Decision problem in uncertain environment
pagenum: 351; label: 6.2
title: Problem statement
pagenum: 352; label: 6.3
title: Simulation principle
pagenum: 353; label: 6.4
title: Case studies
pagenum: 357; label: 6.4.1
title: Stock management
pagenum: 358; label: 6.4.2
title: Competitive tender
pagenum: 362; label: 6.4.3
title: Queuing process or ATM
pagenum: 365; title: Appendix 1
pagenum: 369; title: Appendix 2
pagenum: 377; title: Bibliography
pagenum: 393; title: Index
pagenum: 413