Guest Editorial: Hybrid Metaheuristics
Computers and Operations Research
Hybridizing Beam-ACO with Constraint Programming for Single Machine Job Scheduling
HM '09 Proceedings of the 6th International Workshop on Hybrid Metaheuristics
ANTS'10 Proceedings of the 7th international conference on Swarm intelligence
A memetic algorithm for reconstructing cross-cut shredded text documents
HM'10 Proceedings of the 7th international conference on Hybrid metaheuristics
Hybrid metaheuristics in combinatorial optimization: A survey
Applied Soft Computing
Large neighbourhood search algorithms for the founder sequence reconstruction problem
Computers and Operations Research
Expert Systems with Applications: An International Journal
SMBO: A self-organizing model of marriage in honey-bee optimization
Expert Systems with Applications: An International Journal
Exact and heuristic procedures for solving the fuzzy portfolio selection problem
Fuzzy Optimization and Decision Making
Hybrid Adaptive Large Neighborhood Search for the Optimal Statistic Median Problem
Computers and Operations Research
Interfaces
Hybrid metaheuristics in combinatorial optimization: a tutorial
TPNC'12 Proceedings of the First international conference on Theory and Practice of Natural Computing
Initial Formulation of an Optimization Method Based on Stigmergic Construction
International Journal of Agent Technologies and Systems
A hybrid algorithm for the manufacturing cell formation problem
Journal of Heuristics
The generate-and-solve framework revisited: generating by simulated annealing
EvoCOP'13 Proceedings of the 13th European conference on Evolutionary Computation in Combinatorial Optimization
Identification of risk factors for TRALI using a hybrid algorithm
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Automatic planning of 3G UMTS all-IP release 4 networks with realistic traffic
Computers and Operations Research
Transactions on Computational Collective Intelligence IX
A new hybrid metaheuristic for medical data classification
International Journal of Metaheuristics
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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. The authors involved in this book are among the top researchers in their domain. The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.