Titlebook: Hybrid Metaheuristics; 7th International Wo María J. Blesa,Christian Blum,Michael Sampels Conference proceedings 2010 The Editor(s) (if app

Agility

Intercept

Overthrow

Hybrid Heuristics for Dynamic Resource-Constrained Project Scheduling Problem,r presents a new mathematical formulation for DRCPSP as well as two hybrid heuristics merging an evolutionary algorithm with an exact approach. Computational results show that both hybrid heuristics present better results than the state-of-the-art algorithm for DRCPSP does. The proposed formulation also provides better bounds.

重力

disparage

Hybrid Algorithms for the Variable Sized Bin Packing Problem,neighborhood search approach where some neighborhoods are also based on dynamic programming. The best results are obtained by using the solutions provided by the proposed heuristic as starting solutions for variable neighborhood search. The results show that this algorithm is very competitive with current state-of-the-art approaches.

無(wú)能性

A Hybrid LS-CP Solver for the Shifts and Breaks Design Problem,hood Search, which exploits a set of Local Search operators that resort to a Constraint Programming model for assigning breaks. We test this strategy on a set of random and real life instances employed in the literature.

oxidize

thalamus

New Hybrid Matheuristics for Solving the Multidimensional Knapsack Problem,he problem, so that integrality gap is reduced. The results obtained on two sets of the large scale multidimensional knapsack problem instances are comparable with the current state-of-the-art heuristics. Moreover, a few best known results are reported for some large, long-studied instances.

Deduct

Consultant-Guided Search Algorithms for the Quadratic Assignment Problem, of problems. In this paper, we propose an algorithm for the Quadratic Assignment Problem (QAP), which hybridizes CGS with a local search procedure. Our experimental results show that CGS is able to compete in terms of solution quality with one of the best Ant Colony Optimization algorithms, the MAX-MIN Ant System.

親密

SearchCol: Metaheuristic Search by Column Generation,e optimal solution (primal and dual) to the MH which returns a (incumbent) solution used for defining the (perturbed) CG problem of the next iteration. We describe the SearchCol framework and a general SearchCol algorithm based on local search.