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检索条件"主题词=evolutionary algorithms"
12066 条 记 录,以下是4771-4780 订阅
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evolutionary algorithm application for parameter estimation of the Anaerobic Digestion Model No.1
Evolutionary algorithm application for parameter estimation ...
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ICCC 2008 - IEEE 6th International Conference on Computational Cybernetics
作者: Wenzel, A. University of Applied Sciences Schmalkalden Faculty Electrical Engineering Schmalkalden Germany
The paper present an application of evolutionary algorithms in environmental sciences. It describes the Anaerobic Digestion Process and a suitable mathematical model (Anaerobic Digestion Model No.1). The Anaerobic Dig... 详细信息
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A review on evolutionary multiobjective optimization for routing problem of computer networks
A review on evolutionary multiobjective optimization for rou...
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4th International Conference on the Next Generation Information Technology Summit, Confluence 2013
作者: Kaur, A. Shukla, P.K. Department of Computer Science and Engineering Babu Banarasi Das University Lucknow India Department of Information Technology Instituite of Technology BabuBanarasi Das Northern India Lucknow India
evolutionary algorithms are the stochastic optimization methods, simulating the behavior of natural evolution. These algorithms are basically population based search procedures efficiently dealing with complex search ... 详细信息
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On the benefits of random memorizing in local evolutionary search  1st
On the benefits of random memorizing in local evolutionary s...
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1st International Conference on Rough Sets and Current Trends in Computing, RSCTC 1998
作者: Voigt, Hans-Michael Lange, Jan Matti GFaI-Center for Applied Computer Science Rudower Chaussee 5 Geb. 13.7 BerlinD-12484 Germany
For the calibration of laser induced plasma spectrometers robust and efficient local search methods are required. Therefore, several local optimizers from nonlinear optimization, random search and evolutionary computa... 详细信息
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Trimmed Data-Driven evolutionary Optimization Using Selective Surrogate Ensembles  15th
Trimmed Data-Driven Evolutionary Optimization Using Selectiv...
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15th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2020
作者: Shan, Yawen Hou, Yongjin Wang, Mengzhen Xu, Fei Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China
Data-driven evolutionary algorithms (DDEAs) have attracted much attention in recent years, due to their effectiveness and advantages in solving expensive and complex optimization problems. In an offline data-driven ev... 详细信息
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The research of the match of corresponding points in multi-view and the realization by evolutionary programming
The research of the match of corresponding points in multi-v...
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2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
作者: Pan, Junjun Zhang, Yanning Zhou, Hong Hou, Yuxia Long, Lihua Yao, Lan Computer School Northwest Poly-technology University Xi an 710072
Present a corresponding point match algorithm based on "The Regulation of the Minimum Summation of Euclid Distance". This algorithm gives the regulation that makes the corresponding points match to the highe... 详细信息
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Developing Autonomous Driving Performance Through Neuro evolutionary Training: A Simulation-Based Approach  9
Developing Autonomous Driving Performance Through Neuro Evol...
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9th International Conference on Science, Technology, Engineering and Mathematics, ICONSTEM 2024
作者: Balaji Vasan, R.J. Manoj, J. Visaal, K.S. Northeastern University Department of Mechanical Boston United States Vit University Department of Mechanical Chennai India
Autonomous driving technology is poised to transform transportation systems, yet ensuring reliable and robust autonomous behavior remains a formidable challenge. This paper presents a simulation-based approach leverag... 详细信息
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How to mislead an evolutionary algorithm using global sensitivity analysis  1
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12th International Conference on Evolution Artificielle, EA 2015
作者: Chabin, Thomas Tonda, Alberto Lutton, Evelyne UMR 782 GMPA INRA 1 Av. Lucien Brétignéres Thiverval-Grignon78850 France
The idea of exploiting Global Sensitivity Analysis (GSA) to make evolutionary algorithms more effective seems very attractive: intuitively, a probabilistic analysis can prove useful to a stochastic optimisation techni... 详细信息
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Multimodal Optimization evolutionary Algorithm for RNA Secondary Structure Prediction  2021
Multimodal Optimization Evolutionary Algorithm for RNA Secon...
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5th International Conference on Biological Information and Biomedical Engineering, BIBE 2021
作者: Hu, Yunfei Zhang, Kai School of Computer Science and Technology Wuhan University of Science and Technology Hubei Wuhan430065 China
Recent years, RNA secondary structure prediction has attracted much attention of many researchers, which is an important way to grasp the biochemical function of RNA. However, it is very difficult to predict the RNA s... 详细信息
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Using a multiobjective evolutionary algorithm to develop a quantum cascade laser operating in the terahertz frequency range
Using a multiobjective evolutionary algorithm to develop a q...
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2005 IEEE Congress on evolutionary Computation, IEEE CEC 2005
作者: Rodríguez, Andrés F. Keller, Traci A. Lamont, Gary B. Nelson, Thomas R. Air Force Institute of Technology Graduate School of Engineering and Management Department of Electrical and Computer Engineering Dayton OH 45433 Air Force Research Laboratory Sensors Directorate AFRL/SNDD Dayton OH 45433
Quantum cascade laser (QCL) is a specific type of semiconductor laser that operates through principles of quantum mechanics. Because there is a genuine lack of compact and coherent devices which can operate in the far... 详细信息
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A sequential learnable evolutionary algorithm with a novel knowledge base generation method  11th
A sequential learnable evolutionary algorithm with a novel k...
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11th International Conference on Simulated Evolution and Learning, SEAL 2017
作者: Lou, Yang Yuen, Shiu Yin Department of Electronic Engineering City University of Hong Kong Hong Kong
Sequential learnable evolutionary algorithm (SLEA) provides an algorithm selection framework for solving the black box continuous design optimization problems. An algorithm pool consists of set of established algorith... 详细信息
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