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检索条件"主题词=evolutionary Algorithms"
12071 条 记 录,以下是4801-4810 订阅
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Constrained differential evolution for cost and energy efficiency optimization in 5G wireless networks  11th
Constrained differential evolution for cost and energy effic...
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11th International Conference on Simulated Evolution and Learning, SEAL 2017
作者: AL-Dabbagh, Rawaa Dawoud Jabur, Ahmed Jasim University of Baghdad Baghdad Iraq
The majority of real-world problems involve not only finding the optimal solution, but also this solution must satisfy one or more constraints. Differential evolution (DE) algorithm with constraints handling has been ... 详细信息
来源: 评论
Lower bounds on the run time of the univariate marginal distribution algorithm on OneMax  17
Lower bounds on the run time of the univariate marginal dist...
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14th ACM/SIGEVO Workshop on Foundations of Genetic algorithms, FOGA 2017
作者: Krejca, Martin S. Witt, Carsten Hasso Platter Institute Postdam Germany DTU Compute Technical University of Denmark Kongens Lyngby Denmark
The Univariate Marginal Distribution Algorithm (UMDA), a popular estimation of distribution algorithm, is studied from a run time perspective. On the classical OneMax benchmark function, a lower bound of Ω(μ√n + n ... 详细信息
来源: 评论
A family of ant colony P systems  1
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12th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2017
作者: Guo, Ping Zhang, Mingzhe Chen, Jing College of Computer Science Chongqing University Chongqing China School of Software Engineering Chongqing University Chongqing China Chongqing Key Laboratory of Software Theory and Technology Chongqing China
Ant colony algorithm is a kind of bionic evolutionary algorithm, which is widely used in the field of optimization. Membrane computing is a new computing model, which has the characteristics of distributed, maximal pa... 详细信息
来源: 评论
Safety-aware control of swarms of drones
Safety-aware control of swarms of drones
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International Conference on Computer Safety, Reliability, and Security, SAFECOMP 2017 and 5th International Workshop on Assurance Cases for Software-Intensive Systems, ASSURE 2017, 12th Workshop on Dependable Embedded and Cyber-physical Systems and Systems-of Systems, DECSoS 2017, 6th International Workshop on Next Generation of System Assurance Approaches for Safety Critical Systems, SASSUR 2017, 3rd International Workshop on Technical and Legal Aspects of Data Privacy and Security, TELERISE 2017 and 2nd International Workshop on the Timing Performance in Safety Engineering, TIPS 2017
作者: Majd, Amin Troubitsyna, Elena Daneshtalab, Masoud Åbo Akademi University Turku Finland KTH Royal Institute of Technology Stockholm Sweden
In this paper, we propose a novel approach to ensuring safety while planning and controlling an operation of swarms of drones. We derive the safety constraints that should be verified both during the mission planning ... 详细信息
来源: 评论
Improving robustness in social fabric-based cultural algorithms with two new approaches in population and belief spaces  30
Improving robustness in social fabric-based cultural algorit...
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30th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2017
作者: Zaeri, Bahram Kobti, Ziad School of Computer Science University of Windsor Canada
Robustness is one of the most significant issues when designing evolutionary algorithms. These algorithms should be able to resist against fluctuating responses through the search process. In this paper, we aim at imp... 详细信息
来源: 评论
A fast objective reduction algorithm based on dominance structure for many objective optimization  11th
A fast objective reduction algorithm based on dominance stru...
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11th International Conference on Simulated Evolution and Learning, SEAL 2017
作者: Gu, Fangqing Liu, Hai-Lin Cheung, Yiu-ming Guangdong University of Technology Guangdong China Hong Kong HKBU Institute of Research and Continuing Education Shenzhen China
The performance of the most existing classical evolutionary multiobjective optimization (EMO) algorithms, especially for Pareto-based EMO algorithms, generally deteriorates over the number of objectives in solving man... 详细信息
来源: 评论
Experimental study of distributed differential evolution based on different platforms  12th
Experimental study of distributed differential evolution bas...
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12th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2017
作者: Shi, Lin Zhan, Zhi-Hui Wang, Zi-Jia Zhang, Jun School of Computer Science and Engineering South China University of Technology Guangzhou510006 China
With the increasing complexity of real-world optimization problems, many challenges appear to evolutionary algorithms (EAs). When solving these time-consuming or high-complexity problems, although EAs can guarantee th... 详细信息
来源: 评论
Energy balanced clustering and data gathering for large-scale wireless sensor networks  2017
Energy balanced clustering and data gathering for large-scal...
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21st Pan-Hellenic Conference on Informatics, PCI 2017
作者: Mamalis, Basilis Technological Educational Institute of Athens Greece Democritus University of Thrace Komotini Greece
Clustering is an efficient technique for saving energy of wireless sensor networks (WSNs). In this paper a two-level clustering approach is presented, combining a traditional gradient-based clustering technique with a... 详细信息
来源: 评论
Generating pulse compression waveforms robust to eclipsing
Generating pulse compression waveforms robust to eclipsing
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2017 International Conference on Radar Systems, Radar 2017
作者: Alabaster, Clive M. Hughes, Evan J. White Horse Radar Limited 1 Tinkers Field Royal Wootton Bassett SwindonSN4 8AE United Kingdom
Pulse compression is a very computationally intensive part of radar signal processing. This paper studies the design tradeoffs that are available when an optimisation algorithm is used to design non-linear frequency m... 详细信息
来源: 评论
Multidisciplinary design, analysis and optimization of performance adaptive aeroelastic wings
Multidisciplinary design, analysis and optimization of perfo...
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AIAA Atmospheric Flight Mechanics Conference, 2017
作者: Zhao, Wei Jrad, Mohamed Gupta, Rikin Kapania, Rakesh K. Virginia Polytechnic Institute and State University Department of Aerospace and Ocean Engineering BlacksburgVA24061 United States
A multidisciplinary design, analysis and optimization (MDAO) tool for designing composite aircraft with performance adaptive aeroelastic wings is presented in this paper. The MDAO framework is applied for designing a ... 详细信息
来源: 评论