INFORMS Journal on Computing
Interfaces
A math-heuristic algorithm for the DNA sequencing problem
LION'10 Proceedings of the 4th international conference on Learning and intelligent optimization
New hybrid matheuristics for solving the multidimensional knapsack problem
HM'10 Proceedings of the 7th international conference on Hybrid metaheuristics
Survey: matheuristics for rich vehicle routing problems
HM'10 Proceedings of the 7th international conference on Hybrid metaheuristics
A matheuristic approach for the total completion time two-machines permutation flow shop problem
EvoCOP'11 Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization
The multi-commodity one-to-one pickup-and-delivery traveling salesman problem: a matheuristic
INOC'11 Proceedings of the 5th international conference on Network optimization
An integer programming-based local search for the covering salesman problem
Computers and Operations Research
A hybridization between memetic algorithm and semidefinite relaxation for the max-cut problem
Proceedings of the 14th annual conference on Genetic and evolutionary computation
A matheuristic algorithm for a large-scale energy management problem
LSSC'11 Proceedings of the 8th international conference on Large-Scale Scientific Computing
A math-heuristic dantzig-wolfe algorithm for the capacitated lot sizing problem
LION'12 Proceedings of the 6th international conference on Learning and Intelligent Optimization
A hybrid algorithm for the DNA sequencing problem
Discrete Applied Mathematics
A hybrid heuristic approach for single machine scheduling with release times
Computers and Operations Research
A math-heuristic Dantzig-Wolfe algorithm for capacitated lot sizing
Annals of Mathematics and Artificial Intelligence
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Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their interface regarding efficient hybridization. This edited book will provide a survey of the state of the art in this field by providing some invited reviews by well-known specialists as well as refereed papers from the second Matheuristics workshop to be held in Bertinoro, Italy, June 2008. Papers will explore mathematical programming techniques in metaheuristics frameworks, and especially focus on the latest developments in Mixed Integer Programming in solving real-world problems. Topics to be covered will also include dual information and metaheuristics; metaheuristics for stochastic problems; MIP solvers as search components; decompositions and lower/upper bounds in metaheuristics/MIP codes (MH codes); and real-world case histories of successful MH applications.