Results 11 to 20 of about 1,503,716 (266)

Evolutionary multiobjective optimization via efficient sampling-based offspring generation

Complex & Intelligent Systems, 2023
With the rising number of large-scale multiobjective optimization problems from academia and industries, some evolutionary algorithms (EAs) with different decision variable handling strategies have been proposed in recent years. They mainly emphasize the
Cheng He, Lianghao Li, Ran Cheng, Yaochu Jin   +3 more
doaj   +1 more source

State Transitions During Discrimination Learning in the Gerbil Auditory Cortex Analyzed by Network Causality Metrics

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, Sanqing Hu, Yury Sokolov, Tim Wanger, Andreas L. Schulz, Marie L. Woldeit, Ana I. Gonçalves, Miklós Ruszinkó, Miklós Ruszinkó, Frank W. Ohl, Frank W. Ohl, Frank W. Ohl   +11 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
doaj   +1 more source

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, Richard Y. Zhang, Javad Lavaei, Pravin Varaiya   +3 more
openaire   +3 more sources

RPCGB Method for Large-Scale Global Optimization Problems

Axioms, 2023
In this paper, we propose a new approach for optimizing a large-scale non-convex differentiable function subject to linear equality constraints. The proposed method, RPCGB (random perturbation of the conditional gradient method with bisection algorithm),
Abderrahmane Ettahiri, Abdelkrim El Mouatasim   +1 more
doaj   +1 more source

Comparative evaluation of large-scale many objective algorithms on complex optimization problems [PDF]

Iranian Journal of Numerical Analysis and Optimization
In 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
doaj   +1 more source

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
doaj   +1 more source

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(), Kosmatopoulos Ilias(http://users.isc.tuc.gr/~ikosmatopoulos), Kouvelas Anastasios(http://users.isc.tuc.gr/~akouvelas), Papageorgiou Markos(http://users.isc.tuc.gr/~mpapageorgiou), Κοσματοπουλος Ηλιας(http://users.isc.tuc.gr/~ikosmatopoulos), Κουβελας Αναστασιος(http://users.isc.tuc.gr/~akouvelas), Παπαγεωργιου Μαρκος(http://users.isc.tuc.gr/~mpapageorgiou)   +6 more
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Large-Scale Expensive Optimization with a Switching Strategy

Complex System Modeling and Simulation, 2022
Some optimization problems in scientific research, such as the robustness optimization for the Internet of Things and the neural architecture search, are large-scale in decision space and expensive for objective evaluation.
Mai Sun, Chaoli Sun, Xiaobo Li, Guochen Zhang, Farooq Akhtar   +4 more
doaj   +1 more source

Large scale optimization of transonic axial compressor rotor blades [PDF]

, 2008
[First Paragraphs] In the present work the Multipoint Approximation Method (MAM) by Toropov et al. (1993) has been applied to the shape optimization of an existing transonic compressor rotor (NASA rotor 37) as a benchmark case.
Polynkin, A., Shahpar, S., Toropov, V.
core   +1 more source