Titlebook: Handbook of Heuristics; Rafael Martí,Pardalos Panos,Mauricio G. C. Resende Living reference work 20250th edition Algorithms.Heuristics.Me

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Constraint-Based Local Search,e them with local search techniques. It delivers tools to practitioners that enables them to quickly experiment with multiple models, heuristics, and meta-heuristics, focusing on their application rather than the delicate minutiae of producing a competitive implementation. At its heart, the declarat

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Cutting and Packing,e assigned to large objects with specific shapes so as to optimize some objective function. Besides some characteristics common to combinatorial optimization problems, the distinctive feature of this field is the existence of a geometric subproblem, to ensure that the items do not overlap and are co

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Data Mining in Stochastic Local Search,euristic is to obtain knowledge from previous iterations performed by a heuristic to guide the search in next iterations. Patterns extracted from good quality solutions can be used to guide the search, leading to a more effective exploration of the solution space. This survey shows that memoryless h

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