Results 11 to 20 of about 1,503,716 (266)
Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization
IEEE Access, 2020 Taking “divide-and-conquer” as a basic idea, cooperative coevolution (CC) has shown a promising prospect in large scale global optimization.
Zhigang Ren +5 more
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Energies, 2022 Energy system integration enables raising operational synergies by coupling the energy infrastructures for electricity, methane, and hydrogen. However, this coupling reinforces the infrastructure interdependencies, increasing the need for integrated ...
Lukas Löhr +3 more
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A Hybrid Optimization Framework with Dynamic Transition Scheme for Large-Scale Portfolio Management
Algorithms, 2022 Meta-heuristic algorithms have successfully solved many real-world problems in recent years. Inspired by different natural phenomena, the algorithms with special search mechanisms can be good at tackling certain problems.
Zhenglong Li, Vincent Tam
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An Efficient Line Search Algorithm for Large Scale Optimization [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2010 In this work we present a new algorithm of gradient descent type, in which the stepsize is computed by means of simple approximation of the Hessian Matrix to solve nonlinear unconstrained optimization function.
Abbas Al-Bayati, Ivan Latif
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Advances in meta-heuristic methods for large-scale black-box optimization problems
Zhongguo Jianchuan Yanjiu, 2021 The optimal design of complex engineering equipment usually faces high-complexity, high-dimensional optimization problems – the so-called "large-scale black-box optimization problems (LBOPs)" – which are characterized by unavailable mathematical ...
Puyu JIANG +3 more
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Improved Flower Pollination Algorithm for Large Scale Optimization Problems
Jisuanji kexue yu tansuo, 2020 Flower pollination algorithm (FPA) has a novel optimization structure and good optimization ability, but it is easy to fall into “dimension disaster” when solving high-dimensional optimization problems.
LI Yu, ZHENG Juan, LIU Jingsen
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Frontiers in Systems Neuroscience, 2021 This work studies the evolution of cortical networks during the transition from escape strategy to avoidance strategy in auditory discrimination learning in Mongolian gerbils trained by the well-established two-way active avoidance learning paradigm. The
Robert Kozma +11 more
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Large-Scale Traffic Signal Offset Optimization [PDF]
IEEE Transactions on Control of Network Systems, 2020 The offset optimization problem seeks to coordinate and synchronize the timing of traffic signals throughout a network in order to enhance traffic flow and reduce stops and delays. Recently, offset optimization was formulated into a continuous optimization problem without integer variables by modeling traffic flow as sinusoidal.
Yi Ouyang +3 more
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Comparative evaluation of large-scale many objective algorithms on complex optimization problems [PDF]
Iranian Journal of Numerical Analysis and OptimizationIn the field of optimization, there has been an enormous surge in interest in addressing large-scale many-objective problems. Numerous academicians and practitioners have contributed to evolutionary computation by developing a variety of optimization ...
R. Chaudhary, A. Prajapati
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Adaptive performance optimization for large-scale traffic control systems [PDF]
, 2011 In this paper, we study the problem of optimizing (fine-tuning) the design parameters of large-scale traffic control systems that are composed of distinct and mutually interacting modules.
Aboudolas, K() +6 more
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