Hybrid Metaheuristics An Emerging Approach to Optimization /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Blum, Christian (Editor), Aguilera, Maria José Blesa (Editor), Roli, Andrea (Editor), Sampels, Michael (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Studies in Computational Intelligence, 114
• Subjects: Engineering.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).

Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant co...

Table of Contents:

• Hybrid Metaheuristics: An Introduction
• Combining (Integer) Linear Programming Techniques and Metaheuristics for Combinatorial Optimization
• The Relation Between Complete and Incomplete Search
• Hybridizations of Metaheuristics With Branch & Bound Derivates
• Very Large-Scale Neighborhood Search: Overview and Case Studies on Coloring Problems
• Hybrids of Constructive Metaheuristics and Constraint Programming: A Case Study with ACO
• Hybrid Metaheuristics for Packing Problems
• Hybrid Metaheuristics for Multi-objective Combinatorial Optimization
• Multilevel Refinement for Combinatorial Optimisation: Boosting Metaheuristic Performance.