Search Methodologies [electronic resource] : Introductory Tutorials in Optimization and Decision Support Techniques / edited by Edmund K. Burke, Graham Kendall.

Contributor(s): Burke, Edmund K [editor.] | Kendall, Graham [editor.] | SpringerLink (Online service)
Material type: TextTextPublisher: Boston, MA : Springer US, 2005Description: VI, 620 p. 99 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780387283562Subject(s): Mathematics | Operations research | Decision making | Computers | Mathematical models | Mathematical optimization | Management science | Applied mathematics | Engineering mathematics | Mathematics | Operations Research, Management Science | Optimization | Operation Research/Decision Theory | Computing Methodologies | Appl.Mathematics/Computational Methods of Engineering | Mathematical Modeling and Industrial MathematicsAdditional physical formats: Printed edition:: No titleDDC classification: 519.6 LOC classification: QA402-402.37T57.6-57.97Online resources: Click here to access online
Contents:
Classical Techniques -- Integer Programming -- Genetic Algorithms -- Genetic Programming -- Tabu Search -- Simulated Annealing -- Variable Neighborhood Search -- Constraint Programming -- Multi-Objective Optimization -- Complexity Theory and the No Free Lunch Theorem -- Machine Learning -- Artificial Immune Systems -- Swarm Intelligence -- Fuzzy Reasoning -- Rough Set Based Decision Support -- Hyper-Heuristics -- Approximation Algorithms -- Fitness Landscapes.
In: Springer eBooksSummary: Search Methodologies is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, Mathematics and Operations Research. It is a carefully structured and integrated treatment of the major technologies in optimization and search methodology. The book is made up of 19 chapters. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. The result is a major state-of-the-art tutorial text of the main optimization and search methodologies available to researchers, students and practitioners across discipline domains in applied science. It can be used as a textbook or a reference book to learn and apply these methodologies to a wide range of today’s problems. It has been written by some of the world’s most well known authors in the field.
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Classical Techniques -- Integer Programming -- Genetic Algorithms -- Genetic Programming -- Tabu Search -- Simulated Annealing -- Variable Neighborhood Search -- Constraint Programming -- Multi-Objective Optimization -- Complexity Theory and the No Free Lunch Theorem -- Machine Learning -- Artificial Immune Systems -- Swarm Intelligence -- Fuzzy Reasoning -- Rough Set Based Decision Support -- Hyper-Heuristics -- Approximation Algorithms -- Fitness Landscapes.

Search Methodologies is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, Mathematics and Operations Research. It is a carefully structured and integrated treatment of the major technologies in optimization and search methodology. The book is made up of 19 chapters. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. The result is a major state-of-the-art tutorial text of the main optimization and search methodologies available to researchers, students and practitioners across discipline domains in applied science. It can be used as a textbook or a reference book to learn and apply these methodologies to a wide range of today’s problems. It has been written by some of the world’s most well known authors in the field.

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