Titlebook: Matheuristics; Hybridizing Metaheur Vittorio Maniezzo,Thomas Stützle,Stefan Voß Book 2010 Springer-Verlag US 2010 Sage.algorithms.calculus.

Saline

(Meta-)Heuristic Separation of Jump Cuts in a Branch&Cut Approach for the Bounded Diameter Minimum ty of service is of concern. We solve a strong integer linear programming formulation based on so-called jump inequalities by a Branch&Cut algorithm. As the separation subproblem of identifying currently violated jump inequalities is difficult, we approach it heuristically by two alternative constru

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A Good Recipe for Solving MINLPs,ery hard but practically useful task, especially when the objective and/or the constraints are nonconvex. We present a general-purpose heuristic based on Variable Neighbourhood Search, Local Bran-ching, Sequential Quadratic Programming and Branch-and-Bound. We test the proposed approach on the MINLP

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Obedient

A Hybrid Tabu Search for the ,-Peripatetic Vehicle Routing Problem,he .-PVRP models, for example, money transports and cash machines supply where, for security reasons, no path can be used more than once during . periods and the amount of money allowed per vehicle is limited. It consists in finding a set of routes of minimum total cost over . periods from an undire

outrage

Decomposition Techniques as Metaheuristic Frameworks,inatorial optimization problem, the Single Source Capacitated Facility Location Problem, is then chosen for validation, and the implemented codes of the proposed algorithms are benchmarked on standard instances from literature.

Gentry

Convergence Analysis of Metaheuristics,ensions of metaheuristic algorithms to stochastic combinatorial optimization, where convergence is an especially relevant issue. Finally, the important aspect of convergence speed is addressed by a recapitulation of some methods for analytically estimating the expected runtime until solutions of sufficient quality are detected.

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Lament

MIP-based GRASP and Genetic Algorithm for Balancing Transfer Lines,ces the proposed methods have an advantage over the methods from literature for finding high quality solutions. The MIP-based recombination operator that arranges the elements of parent solutions in the best possible way is shown to be useful in the GA.

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