Metaheuristics: Decision Engineering
Autor Christian Prins, Kenneth Sorensen, Marc Sevaux, Rafael Martien Limba Engleză Hardback – 8 iul 2016
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Specificații
ISBN-13: 9781846282775
ISBN-10: 1846282772
Pagini: 300
Ilustrații: 30 black & white illustrations
Dimensiuni: 155 x 235 mm
Ediția:New.
Editura: Springer
Seria Decision Engineering
Locul publicării:London, United Kingdom
ISBN-10: 1846282772
Pagini: 300
Ilustrații: 30 black & white illustrations
Dimensiuni: 155 x 235 mm
Ediția:New.
Editura: Springer
Seria Decision Engineering
Locul publicării:London, United Kingdom
Public țintă
Professional/practitionerDescriere
Companies and organisations deal with many problems that may seem difficult to solve at first sight:
• In which order should customers be visited for delivery so that the total distance travelled by a delivery fleet is minimsed?
• How can a portfolio of shares be improved, taking into account limited financial resources?
• Where should warehouses be located?
• Which streets should be covered by which mailman? And in which order?
For most of these problems - finding the best (or optimal) solution can be difficult: real problems are simply too complex or large to solve using the traditional methods based on mathematical programming. However, a new collection of methods have been developed that can be used to find "good enough" solutions in a reasonable amount of time. These new methods are metaheuristics.
Metaheuristics: A Comprehensive Guide to the Design and Implementation of Effective Optimisation Strategies introduces and explains the most important metaheuristic methods, including tabu search, simulated annealing and genetic algorithms and discusses each of their advantages and disadvantages. The book includes program codes that show how each method is designed, implemented, evaluated and improved.
Metaheuristics: A Comprehensive Guide to the Design and Implementation of Effective Optimisation Strategies is an ideal introduction to the subject for students, whilst the inclusion of advanced topics enables the book to act as a reference for researchers and a practical guide for engineers and managers who wish to apply metaheuristic methods to real problems in engineering and business.
• In which order should customers be visited for delivery so that the total distance travelled by a delivery fleet is minimsed?
• How can a portfolio of shares be improved, taking into account limited financial resources?
• Where should warehouses be located?
• Which streets should be covered by which mailman? And in which order?
For most of these problems - finding the best (or optimal) solution can be difficult: real problems are simply too complex or large to solve using the traditional methods based on mathematical programming. However, a new collection of methods have been developed that can be used to find "good enough" solutions in a reasonable amount of time. These new methods are metaheuristics.
Metaheuristics: A Comprehensive Guide to the Design and Implementation of Effective Optimisation Strategies introduces and explains the most important metaheuristic methods, including tabu search, simulated annealing and genetic algorithms and discusses each of their advantages and disadvantages. The book includes program codes that show how each method is designed, implemented, evaluated and improved.
Metaheuristics: A Comprehensive Guide to the Design and Implementation of Effective Optimisation Strategies is an ideal introduction to the subject for students, whilst the inclusion of advanced topics enables the book to act as a reference for researchers and a practical guide for engineers and managers who wish to apply metaheuristic methods to real problems in engineering and business.
Cuprins
1 Introduction
2 Local-search
3 Local-search based metaheuristics
4 Population-based metaheuristics
5 Advanced metaheuristics
6 Some additional topics
2 Local-search
3 Local-search based metaheuristics
4 Population-based metaheuristics
5 Advanced metaheuristics
6 Some additional topics
Notă biografică
The authors are researchers, doing active research into the topic of metaheuristics. They teach courses on the subject in universities at undergraduate and graduate levels. They have also been involved in some industrial projects, where we have implemented metaheuristics for real optimisation problems.
Marc Sevaux is a Professor at the University of South-Brittany (Lorient, France). He is a member of the LESTER Laboratory, a CNRS-affiliated laboratory (FRE 2734). He teaches undergraduate and graduate courses in Operational Research and Computer Science at the Faculty of Science and Technology. He is a former member of the department of Production Systems of the LAMIH. He received his Ph.D. degree in 1998 from the Pierre and Marie Curie University (Paris VI) and conducted his doctoral research at the Ecole des Mines de Nantes in the Department of Automatic Control and Production Engineering. He defended his Habilitation in July 2004 at the University of Valenciennes in the LAMIH laboratory, Production Systems department.
Prof. Sevaux is primarily interested in combinatorial optimization research, particularly production planning, scheduling and routing problems. He is currently working on robustness in scheduling and also on multi-objective routing problems. He is also interested in linear and integer programming to solve various industrial problems.
Marc Sevaux is a Professor at the University of South-Brittany (Lorient, France). He is a member of the LESTER Laboratory, a CNRS-affiliated laboratory (FRE 2734). He teaches undergraduate and graduate courses in Operational Research and Computer Science at the Faculty of Science and Technology. He is a former member of the department of Production Systems of the LAMIH. He received his Ph.D. degree in 1998 from the Pierre and Marie Curie University (Paris VI) and conducted his doctoral research at the Ecole des Mines de Nantes in the Department of Automatic Control and Production Engineering. He defended his Habilitation in July 2004 at the University of Valenciennes in the LAMIH laboratory, Production Systems department.
Prof. Sevaux is primarily interested in combinatorial optimization research, particularly production planning, scheduling and routing problems. He is currently working on robustness in scheduling and also on multi-objective routing problems. He is also interested in linear and integer programming to solve various industrial problems.
Caracteristici
This is the first book to cover metaheuristics - a hot area of methods that can be used in optimisation problems - in a single volume and integrated fashion
Basic problems are disussed with worked example and program code included, enabling the book be used as textbook for students
Basic problems are disussed with worked example and program code included, enabling the book be used as textbook for students