Search methodologies : introductory tutorials in optimization and decision support techniques

"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

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 18 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.

topical Chapters In The Book Are Highlighted In The Contents. 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.

front-matter......Page 1 01Introduction......Page 10 02Classical Techniques......Page 24 03Integer Programming......Page 74 04Genetic Algorithms......Page 101 05Genetic Programming......Page 130 06Tabu Search......Page 168 07Simulated Annealing......Page 190 08Variable Neighborhood Search......Page 214 09Constraint Programming......Page 242 10Multi-Objective Optimization......Page 276 11Complexity Theory and the No Free Lunch Theorem......Page 320 12Machine Learning......Page 343 13Artificial Immune Systems......Page 376 14Swarm Intelligence......Page 401 15Fuzzy Reasoning......Page 436 16Rough Set Based Decision Support......Page 474 17Hyper-Heuristics......Page 527 18Approximation Algorithms......Page 555 19Fitness Landscapes......Page 584 back-matter......Page 608 This book is a tutorial survey of the methodologies that are at the confluence of several fields: Computer Science, Mathematics and Operations Research. It provides a carefully structured and integrated treatment of the major technologies in optimization and search methodology. The chapter authors are drawn from across Computer Science and Operations Research and include some of the world’s leading authorities in their field. 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.