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检索条件"主题词=evolutionary Algorithms"
12063 条 记 录,以下是341-350 订阅
排序:
Parameter estimation based on stacked regression and evolutionary algorithms
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IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS 1999年 第5期146卷 406-414页
作者: Hong, X Billings, SA Univ Sheffield Dept Automat Control & Syst Engn Sheffield S1 3JD S Yorkshire England
A new parameter-estimation algorithm, which minimises the cross-validated prediction error for linear-in-the-parameter models, is proposed, based on stacked regression and an evolutionary algorithm. It is initially sh... 详细信息
来源: 评论
Hybrid metaheuristics with evolutionary algorithms specializing in intensification and diversification: Overview and progress report
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COMPUTERS & OPERATIONS RESEARCH 2010年 第3期37卷 481-497页
作者: Lozano, M. Garcia-Martinez, C. Univ Granada Dept Comp Sci & Artificial Intelligence E-18071 Granada Spain Univ Cordoba Dept Comp & Numer Anal E-14071 Cordoba Spain
Nowadays, a promising way to obtain hybrid metaheuristics concerns the combination of several search algorithms with strong specialization in intensification and/or diversification. The flexible architecture of evolut... 详细信息
来源: 评论
Analysing the Robustness of evolutionary algorithms to Noise: Refined Runtime Bounds and an Example Where Noise is Beneficial
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ALGORITHMICA 2021年 第4期83卷 976-1011页
作者: Sudholt, Dirk Univ Sheffield Sheffield S1 4DP S Yorkshire England
We analyse the performance of well-known evolutionary algorithms, the (1 + 1) EA and the (1 + similar to) EA, in the prior noise model, where in each fitness evaluation the search point is altered before the evaluatio... 详细信息
来源: 评论
A population dynamics model to describe gene frequencies in evolutionary algorithms
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APPLIED SOFT COMPUTING 2012年 第5期12卷 1483-1492页
作者: Gouvea, Maury Meirelles, Jr. Araujo, Aluizio F. R. Pontificia Univ Catolica Minas Gerais Polytech Inst BR-30535901 Belo Horizonte MG Brazil Univ Fed Pernambuco Ctr Informat Recife PE Brazil
The performance of evolutionary algorithms (EAs) may heavily depend severely on a suitable choice of parameters such as mutation and crossover rates. Several methods to adjust those parameters have been developed in o... 详细信息
来源: 评论
A population initialization method for evolutionary algorithms based on clustering and Cauchy deviates
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EXPERT SYSTEMS WITH APPLICATIONS 2016年 60卷 294-310页
作者: Bajer, Drazen Martinovic, Goran Brest, Janez JJ Strossmayer Univ Osijek Fac Elect Engn Kneza Trpimira 2b Osijek 31000 Croatia Univ Maribor Fac Elect Engn & Comp Sci Smetanova Ul 17 SLO-2000 Maribor Slovenia
The initial population of an evolutionary algorithm is an important factor which affects the convergence rate and ultimately its ability to find high quality solutions or satisfactory solutions for that matter. If com... 详细信息
来源: 评论
Assessment of evolutionary algorithms for optimal operating rules design in real Water Resource Systems
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ENVIRONMENTAL MODELLING & SOFTWARE 2015年 69卷 425-436页
作者: Lerma, Nestor Paredes-Arquiola, Javier Andreu, Joaquin Solera, Abel Sechi, Giovanni M. Univ Politecn Valencia Res Inst Water & Environm Engn IIAMA E-46022 Valencia Spain Univ Cagliari Dept Civil Environm & Architectural Engn DICAAR I-09131 Cagliari Italy
Two evolutionary algorithms (EAs) are assessed in this paper to design optimal operating rules (ORs) for Water Resource Systems (WRS). The assessment is established through a parameter analysis of both algorithms in a... 详细信息
来源: 评论
Multi-objective traffic signal optimization using 3D mesoscopic simulation and evolutionary algorithms
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SIMULATION MODELLING PRACTICE AND THEORY 2018年 86卷 120-138页
作者: Mihaita, Adriana Simona Dupont, Laurent Camargo, Mauricio CSIRO Data61 13 Garden St Eveleigh NSW 2015 Australia Lorraine Univ ERPI Lab EA6737 8 Rue Bastien Lepage F-54010 Nancy France
Modern cities are currently facing rapid urban growth and struggle to maintain a sustainable development. In this context, "eco-neighbourhoods" became the perfect place for testing new innovative ideas that ... 详细信息
来源: 评论
Characterization of atmospheric contaminant sources using adaptive evolutionary algorithms
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ATMOSPHERIC ENVIRONMENT 2010年 第31期44卷 3787-3796页
作者: Cervone, Guido Franzese, Pasquale Grajdeanu, Adrian George Mason Univ Dept Geog & Geoinformat Sci Fairfax VA 22030 USA George Mason Univ Ctr Earth Observing & Space Res Fairfax VA 22030 USA George Mason Univ Dept Comp Sci Fairfax VA 22030 USA
The characteristics of an unknown source of emissions in the atmosphere are identified using an Adaptive evolutionary Strategy (AES) methodology based on ground concentration measurements and a Gaussian plume model. T... 详细信息
来源: 评论
Optimizing laser-plasma interactions for ion acceleration using particle-in-cell simulations and evolutionary algorithms
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NEW JOURNAL OF PHYSICS 2020年 第10期22卷 1-11页
作者: Smith, Joseph R. Orban, Chris Morrison, John T. George, Kevin M. Ngirmang, Gregory K. Chowdhury, Enam A. Roquemore, W. Mel Ohio State Univ Dept Phys 174 W 18th Ave Columbus OH 43210 USA Innovat Sci Solut Inc Dayton OH USA Natl Acad Sci Engn & Med Washington DC USA US Air Force Res Lab Dayton OH USA Intense Energy Solut Inc Plain City OH USA Ohio State Univ Dept Mat Sci & Engn 116 W 19th Ave Columbus OH 43210 USA
The development of ultra-intense laser-based sources of high energy ions is an important goal, with a variety of potential applications. One of the barriers to achieving this goal is the need to maximize the conversio... 详细信息
来源: 评论
Comparison of the tournament-based convection selection with the island model in evolutionary algorithms
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JOURNAL OF COMPUTATIONAL SCIENCE 2019年 第Mar.期32卷 106-114页
作者: Komosinski, Maciej Miazga, Konrad Poznan Univ Tech Inst Comp Sci Piotrowo 2 PL-60965 Poznan Poland
Convection selection is an approach to multipopulational evolutionary algorithms where solutions are assigned to subpopulations based on their fitness values. Although it is known that convection selection can allow t... 详细信息
来源: 评论