Titlebook: Handbook of Heuristics; Rafael Martí,Panos M.‘Pardalos,Mauricio G. C. Rese Reference work 2018 Springer International Publishing AG, part

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David Corne,Michael A. Lonesalian research in Mechanics in the last few decades, with regard to both ‘classical’ and ‘novel’ topics, and a glimpse of ongoing developments and open perspectives. The contributions are discussed according to a sequence that attempts to outline a kind of scientific path from a glorious past to a challenging future.

Invertebrate

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Graves’-disease

火海

dissent

Data Mining in Stochastic Local Searcheuristic 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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VEN

Matheuristicsl role played by the mathematical programming model, around which the overall heuristic is built. As such, matheuristic is not a rigid paradigm but rather a concept framework for the design of mathematically sound heuristics. The aim of this chapter is to introduce the main matheuristic ideas. Three

Mumble

Multi-start Methodsdom initial solutions. Modern multi-start methods usually incorporate a powerful form of diversification in the generation of solutions to help overcome local optimality. Different metaheuristics, such as GRASP or tabu search, have been applied to this end. This survey briefly sketches historical de