Kernel Technology to Solve Discrete Optimization Problems
Sign Up to like & getrecommendations! Published in 2017 at "Cybernetics and Systems Analysis"
DOI: 10.1007/s10559-017-9990-y
Abstract: The kernel technology is proposed to solve discrete optimization problems. It forms solution kernel and allows efficient stochastic perturbations of this solution in iterative schemes. Comparative analysis of the two versions of the new algorithm… read more here.
Keywords: kernel technology; discrete optimization; technology; solve discrete ... See more keywords
Fragmentary Structures in Discrete Optimization Problems
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DOI: 10.1007/s10559-017-9995-6
Abstract: The paper considers a combinatorial object (a fragmentary structure) and investigates the properties of this object. It is shown that a number of discrete optimization problems can be considered as optimization problems on a fragmentary… read more here.
Keywords: fragmentary structure; fragmentary structures; discrete optimization; problems fragmentary ... See more keywords
Discrete Optimization for Shape Matching
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DOI: 10.1111/cgf.14359
Abstract: We propose a novel discrete solver for optimizing functional map‐based energies, including descriptor preservation and promoting structural properties such as area‐preservation, bijectivity and Laplacian commutativity among others. Unlike the commonly‐used continuous optimization methods, our approach… read more here.
Keywords: shape matching; optimization shape; discrete solver; discrete optimization ... See more keywords
Discrete Optimization with Fuzzy Constraints
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DOI: 10.3390/sym9060087
Abstract: The primary benefit of fuzzy systems theory is to approximate system behavior where analytic functions or numerical relations do not exist. In this paper, heuristic fuzzy rules were used with the intention of improving the… read more here.
Keywords: optimization fuzzy; fuzzy constraints; optimization; discrete optimization ... See more keywords