Metaheuristics
Progress in Complex Systems Optimization
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Beschreibung
The aim of METAHEURISTICS: Progress in Complex Systems Optimization is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field.
Highlighted are recent developments in the areas of Simulated Annealing, Path Relinking, Scatter Search, Tabu Search, Variable Neighborhood Search, Hyper-heuristics, Constraint Programming, Iterated Local Search, GRASP, bio-inspired algorithms like Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization or Swarm Intelligence, and several other paradigms.
The aim of Metaheuristics: Progress in Complex Systems Optimization is to provide several different kinds of information: a delineation of general metaheuristics methods, a number of state-of-the-art articles from a variety of well-known classical application areas as well as an outlook to modern computational methods in promising new areas. Therefore, this book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field.
Highlighted are recent developments in the areas of Simulated Annealing, Path Relinking, Scatter Search, Tabu Search, Variable Neighborhood Search, Hyper-heuristics, Constraint Programming, Iterated Local Search, GRASP, bio-inspired algorithms like Genetic Algorithms, Memetic Algorithms, Ant Colony Optimization or Swarm Intelligence, and several other paradigms.
All papers in the volume are carefully peer-reviewed papers, which include high-interest research papers and tutorials from top researchers A series of tutorials on developing areas in Metaheuristics are given by some of the top researchers in Metaheuristics: Edmund Burke, Reuven Rubinstein, Eric Taillard, Gilles Pesant, Pierre Hansen, and Stefan Voß This book may equally serve as a textbook in graduate courses for students, as a reference book for people interested in engineering or social sciences, and as a collection of new and promising avenues for researchers working in this field Of special interest are: Fred Glover's “New Developments for Metaheuristics in Science and Industry”; “Ant Colony Optimization”; “Search-Based Software Testing”; “Cooperative Parallel Metaheuristics”; “Metaheuristics in Practice: Solving Industrial Problems in Supply Chain Management”
Autor*in
Karl F. Doerner
Themen in »Metaheuristics«
Analysis Variable algorithm algorithms combinatorial optimization complex systems data mining genetic algorithms metaheuristic optimization programming scheduling tools