Handbook of Metaheuristics edited by Fred W. Glover, Gary A. Kochenberger.

Metaheuristics, in their original definition, are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. Over time, these methods h...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Glover, Fred W. (Editor), Kochenberger, Gary A. (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2003.
Edition:1st ed. 2003.
Series:International Series in Operations Research & Management Science, 57
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Scatter Search and Path Relinking: Advances and Applications
  • An Introduction to Tabu Search
  • Genetic Algorithms
  • Genetic Programming: Automatic Synthesis of Topologies and Numerical Parameters
  • A Gentle Introduction to Memetic Algorithms
  • Variable Neighborhood Search
  • Guided Local Search
  • Greedy Randomized Adaptive Search Procedures
  • The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances
  • The Theory and Practice of Simulated Annealing
  • Iterated Local Search
  • Multi-Start Methods
  • Local Search and Constraint Programming
  • Constraint Satisfaction
  • Artificial Neural Networks for Combinatorial Optimization
  • Hyper-Heuristics: An Emerging Direction in Modern Search Technology
  • Parallel Strategies for Meta-Heuristics
  • Metaheuristic Class Libraries
  • Asynchronous Teams.