Edmund K. Burke and Graham Kendall assemble a technical manual on heuristic and metaheuristic search techniques for solving complex optimization problems. This volume details specific algorithmic frameworks such as genetic algorithms, simulated annealing, tabu search, and ant colony optimization. The 2013 edition incorporates newer methodologies including scatter search, greedy randomized adaptive search procedures (GRASP), and very large neighborhood search. Each chapter functions as a tutorial, explaining the mathematical foundations of decision support systems and providing concrete implementation guidelines for navigating high-dimensional search spaces within operations research and computer science.
This book serves graduate students and professional researchers who require a technical entry point into discrete optimization. Readers gain a functional understanding of how to select and apply specific algorithms to real-world scheduling, routing, and resource allocation challenges. By following the provided tutorials, practitioners walk away with the ability to bridge the gap between theoretical search theory and the actual programming of efficient decision support software.
Deep, outward-looking, growth-minded and clear-cut; a demanding read.
Best for readers like The Systems Thinker. Which reader are you?
- Published
- 2013
- Publisher
- Springer Science & Business Media
- ISBN
- 9781461469407
- Language
- EN
