Titlebook: Discrete Diversity and Dispersion Maximization; A Tutorial on Metahe Rafael Martí,Anna Martínez-Gavara Book 2023 The Editor(s) (if applicab

笨拙处理

https://doi.org/10.1007/978-3-031-38310-6Metaheuristics; discrete diversity; math programming models; branch and bound; integer programming; Greed

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Employee

Geometrical Analysis of Solutionsally represent the optimal solutions of some diversity models when solving Euclidean instances. These representations help us to understand and differentiate the models and their area of applicability. In particular, we disclose which models are better suited for dispersion and which ones for representativeness.

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Progress in Theoretical Computer Sciencensist in the selection of a subset of them in such a way that the diversity of the selected elements is maximized. These problems have been studied in depth over the last 30 years from an OR perspective. Different mathematical models have been proposed to include different aspects and to model reali

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The Barents Euro-Arctic Councilally represent the optimal solutions of some diversity models when solving Euclidean instances. These representations help us to understand and differentiate the models and their area of applicability. In particular, we disclose which models are better suited for dispersion and which ones for repres

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Subregional Cooperation in the New Europe and subsequently add elements until a promising feasible solution is found. Their advantages are simplicity in design, analysis and implementation, and an intuitive structure. In general, though not always, they also have a limited computational complexity. An obvious counterpart is offered by dest

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Integration and Industrial Cooperation,In the last few years, it has been employed to solve a considerable number of optimization problems, including some diversity and dispersion problems. The first part of this chapter is devoted to the revision of the basic components for the design of this metaheuristic. It also presents the changes