Results 41 to 50 of about 10,104,704 (372)
International Journal of Distributed Sensor Networks, 2020 In modern times, swarm intelligence has played an increasingly important role in finding an optimal solution within a search range. This study comes up with a novel solution algorithm named QUasi-Affine TRansformation-Pigeon-Inspired Optimization ...
Xiao-Xue Sun +4 more
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Journal of Function Spaces, 2023 Traditional logistics delivery route optimization algorithm has some problems such as long time to find the optimal route. Based on this, this paper discusses swarm intelligence optimization algorithm and logistics delivery route optimization.
Guofu Zhao
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Bregman Monotone Optimization Algorithms [PDF]
SIAM Journal on Control and Optimization, 2003 Summary: A broad class of optimization algorithms based on Bregman distances in Banach spaces is unified around the notion of Bregman monotonicity. A systematic investigation of this notion leads to a simplified analysis of numerous algorithms and to the development of a new class of parallel block-iterative surrogate Bregman projection schemes ...
Bauschke, Heinz H. +2 more
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Advances in Metaheuristic Algorithms for Optimal Design of Structures, 2019 Gerhard Venter (gventer_vrand.conl) *Vanderpla(ds Research and Development, bit.1767 S 8th St'reef. Suite 100, Colorado Springs. CO 80906Jaroslaw Sobieszczanski-Sobieski (j.sobieski:_larc.nasa.gov) *A_4SA Lcmgley Research Ce,_terMS 240, Hampton, I:4 ...
Gerhard Venter +1 more
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War Strategy Optimization Algorithm: A New Effective Metaheuristic Algorithm for Global Optimization
IEEE Access, 2022 This paper proposes a new metaheuristic optimization algorithm based on ancient war strategy. The proposed War Strategy Optimization (WSO) is based on the strategic movement of army troops during the war.
T. Ayyarao +7 more
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Two-Stage Eagle Strategy with Differential Evolution [PDF]
, 2012 Efficiency of an optimization process is largely determined by the search algorithm and its fundamental characteristics. In a given optimization, a single type of algorithm is used in most applications.
Deb, Suash, Yang, Xin-She
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Optimizing the Trickle Algorithm [PDF]
IEEE Communications Letters, 2015 The Trickle Algorithm has enjoyed much popularity and widespread use as a basic network primitive ensuring low-cost data consistency in lossy networks. Trickle is shaped by the so-called short-listen problem, hence the imposition of a listen-only period.
Djamaa, Badis, Richardson, Mark A.
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Frontiers in Medicine, 2023 ObjectivesUstekinumab (UST) optimization strategies, including shortening intervals and intravenous reinduction, should be administered to patients with partial or loss of respond. Evidence comparing these types of optimization treatments is limited.
Jiayin Yao +21 more
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Application of reduced-set pareto-lipschitzian optimization to truss optimization [PDF]
, 2015 In this paper, a recently proposed global Lipschitz optimization algorithm Pareto-Lipschitzian Optimization with Reduced-set (PLOR) is further developed, investigated and applied to truss optimization problems.
Mockus, J +4 more
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Adaptive Momentum for Neural Network Optimization [PDF]
, 2020 In this thesis, we develop a novel and efficient algorithm for optimizing neural networks inspired by a recently proposed geodesic optimization algorithm.
Rashidi, Zana
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