TY  - BOOK
AU  - Blum, Christian
TI  - Hybrid metaheuristics: an emerging approach to optimization
SN  - 9783540782940
U1  - 511.6 
PY  - 2008///
CY  - Berlin Heidelberg
PB  - Springer-Verlag
KW  - Combinatorial optimization - Data processing
KW  - Computational intelligence
KW  - Computer algorithms
KW  - Heuristic programming
N2  - 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 colony optimization. In recent years it has become evident that a skilled combination of a metaheuristic with other optimization techniques, a so called hybrid metaheuristic, can provide a more efficient behavior and a higher flexibility. This is because hybrid metaheuristics combine their advantages with the complementary strengths of, for example, more classical optimization techniques such as branch and bound or dynamic programming. (http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-540-78294-0)
ER  -