Your Waterstones card is changing, introducing...
TELL ME MORE
Metaheuristics: Computer Decision-Making - Applied Optimization 86 (Hardback)
  • Metaheuristics: Computer Decision-Making - Applied Optimization 86 (Hardback)
zoom

Metaheuristics: Computer Decision-Making - Applied Optimization 86 (Hardback)

(editor), (editor)
£242.50
Hardback 719 Pages / Published: 30/11/2003
  • We can order this

Usually despatched within 3 weeks

  • This item has been added to your basket
Combinatorial optimization is the process of finding the best, or optimal, so- lution for problems with a discrete set of feasible solutions. Applications arise in numerous settings involving operations management and logistics, such as routing, scheduling, packing, inventory and production management, lo- cation, logic, and assignment of resources. The economic impact of combi- natorial optimization is profound, affecting sectors as diverse as transporta- tion (airlines, trucking, rail, and shipping), forestry, manufacturing, logistics, aerospace, energy (electrical power, petroleum, and natural gas), telecommu- nications, biotechnology, financial services, and agriculture. While much progress has been made in finding exact (provably optimal) so- lutions to some combinatorial optimization problems, using techniques such as dynamic programming, cutting planes, and branch and cut methods, many hard combinatorial problems are still not solved exactly and require good heuristic methods. Moreover, reaching "optimal solutions" is in many cases meaningless, as in practice we are often dealing with models that are rough simplifications of reality. The aim of heuristic methods for combinatorial op- timization is to quickly produce good-quality solutions, without necessarily providing any guarantee of solution quality. Metaheuristics are high level procedures that coordinate simple heuristics, such as local search, to find solu- tions that are of better quality than those found by the simple heuristics alone: Modem metaheuristics include simulated annealing, genetic algorithms, tabu search, GRASP, scatter search, ant colony optimization, variable neighborhood search, and their hybrids.

Publisher: Springer-Verlag New York Inc.
ISBN: 9781402076534
Number of pages: 719
Weight: 2670 g
Dimensions: 235 x 155 x 39 mm
Edition: 2004 ed.

You may also be interested in...

Programming Computer Vision with Python
Added to basket
Web Data Mining
Added to basket
£54.99
Hardback
How Intelligence Happens
Added to basket
The Singularity is Near
Added to basket
Introduction to Machine Learning
Added to basket
Statistical Pattern Recognition
Added to basket
Analytic Pattern Matching
Added to basket
Learning LEGO MINDSTORMS EV3
Added to basket
Pattern Recognition
Added to basket
Machine Learning
Added to basket
Understanding Beliefs
Added to basket
Machine Learning
Added to basket
£52.99
Mixed media product
Neuronal Dynamics
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.