Abstract
This paper presents general approaches to continuous functional representations (f-representations) of sets of Euclidean combinatorial configurations underlying the possibility of applying continuous programming to optimization on them. A concept of Euclidean combinatorial configurations (e-configurations) is offered. Applications of f-representations in optimization and reformulations of extreme combinatorial problems as global optimization problems are outlined. A typology of f-representations is presented and approaches to construct them for classes that were singled out are described and applied in forming a number of polynomial f-representations of basic sets of e-configurations related to permutation and Boolean configurations. The paper’s results can be applied in solving numerous real-world problems formulated as permutation-based, binary or Boolean.
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Pichugina, O., Yakovlev, S. (2020). Euclidean Combinatorial Configurations: Continuous Representations and Convex Extensions. In: Lytvynenko, V., Babichev, S., Wójcik, W., Vynokurova, O., Vyshemyrskaya, S., Radetskaya, S. (eds) Lecture Notes in Computational Intelligence and Decision Making. ISDMCI 2019. Advances in Intelligent Systems and Computing, vol 1020. Springer, Cham. https://doi.org/10.1007/978-3-030-26474-1_5
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