Titlebook: Learning and Intelligent Optimization; 11th International C Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. Serge Conference proceedings 2017

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A GRASP for the Minimum Cost SAT Problemform, in this paper we limit our analysis to some instances that have been created from artificial supervised learning problems, and show that our method outperforms more general purpose well established solvers.

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Albinism

Hierarchical Clustering and Multilevel Refinement for the Bike-Sharing Station Planning Problem stations are usually implemented within larger cities and the potential station locations are manifold, the size of practical instances of the underlying optimization problem is rather large, which makes a manual decision process a hardly comprehensible and understandable task but also a computatio

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arsenal

Duality Gap Analysis of Weak Relaxed Greedy Algorithmsys an approximate solution at the line-search step. Following ideas of [.] we put up the notion of the duality gap, the values of which are computed at the gradient greedy step of the algorithms on each iteration, and therefore, they are inherent upper bounds for primal errors, i.e. differences betw

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