Results 21 to 30 of about 63,688 (308)
Multi-scenario Load Combinatorial Optimization Based on Improved Greedy Algorithm
Zhongguo dianli, 2020 With the gradual formation of sales side market competition pattern, the electricity companies can improve the safety level of power grid and the quality of power supply through load combinatorial optimization to improve the load rate and reduce the cost
Yan WANG +4 more
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Parameterized shifted combinatorial optimization [PDF]
Journal of Computer and System Sciences, 2017 Shifted combinatorial optimization is a new nonlinear optimization framework which is a broad extension of standard combinatorial optimization, involving the choice of several feasible solutions at a time. This framework captures well studied and diverse problems ranging from so-called vulnerability problems to sharing and partitioning problems.
Jakub Gajarský +3 more
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Gels, 2016 Combinatorial method/high throughput strategies, which have long been used in the pharmaceutical industry, have recently been applied to hydrogel optimization for tissue engineering applications.
Laura A. Smith Callahan
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Bulk-Robust combinatorial optimization [PDF]
Mathematical Programming, 2014 Mathematical Programming, 149 (1-2)
Adjiashvili, David +2 more
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A Random-Key optimizer for combinatorial optimization [PDF]
Journal of Heuristics54 pages, 16 figures, 8 ...
Antonio Augusto Chaves +6 more
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Mathematical modeling of finite topologies
Karpatsʹkì Matematičnì Publìkacìï, 2020 Integer programming is a tool for solving some combinatorial optimization problems. In this paper, we deal with combinatorial optimization problems on finite topologies.
S.E. Monabbati, H. Torabi
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Recent Advances in Combinatorial Optimization [PDF]
The Scientific World Journal, 2015 Dehua Xu +4 more
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Clustering and combinatorial optimization in recursive supervised learning [PDF]
, 2007 The use of combinations of weak learners to learn a dataset has been shown to be better than the use of a single strong learner. In fact, the idea is so successful that boosting, an algorithm combining several weak learners for supervised learning, has
Guan, S.U. +5 more
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Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Applications of Modelling and Simulation, 2023 The evolutionary algorithm has been extensively used to solve a range of combinatorial optimization problems. The adaptability of evolutionary algorithm mechanisms provides diverse approaches to handle combinatorial optimization challenges.
Anniza Hamdan +4 more
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Combinatorial optimization algorithms on quantum and quantum inspired devices [PDF]
, 2022 Safro, IlyaFrom "quantum-inspired" complementary metal–oxide–semiconductor annealers to universal quantum computers, recent advances in these emerging technologies open the floor for discussions about finding practical applications as well as the ...
Liu, Xiaoyuan
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