Covers classical and modern search techniques including genetic algorithms, tabu search, and swarm intelligence for broad applicability
Includes new chapters on scatter search, grasp, and very large neighborhood search to keep content up-to-date
Provides practical implementation guidelines and tutorials to support both students and researchers
Edited by leading experts in computer science and operations research for authoritative content
Illustrated throughout for enhanced understanding
Summarized by Shop
Report copyright infringement by Edmund K. Burke (Editor), Graham Kendall (Editor)
The first edition of Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques was originally put together to offer a basic introduction to the various search and optimization techniques that students might need to use durin