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检索条件"主题词=Sequential parameter optimization"
15 条 记 录,以下是1-10 订阅
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sequential parameter optimization for Multi-Objective Problems
Sequential Parameter Optimization for Multi-Objective Proble...
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2010 IEEE World Congress on Computational Intelligence
作者: Wessing, Simon Naujoks, Boris Tech Univ Dortmund Fac Comp Sci Computat Intelligence Grp Chair Algorithm Engn Dortmund Germany
Optimizing an algorithm's parameter set for evolutionary multi-objective optimization (EMO) algorithms is not performed regularly until now. However, it could have been learned from single-objective optimization t... 详细信息
来源: 评论
sequential parameter optimization of an Evolution Strategy for the Design of Mold Temperature Control Systems
Sequential Parameter Optimization of an Evolution Strategy f...
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2010 IEEE World Congress on Computational Intelligence
作者: Biermann, Dirk Joliet, Raffael Michelitsch, Thomas Wagner, Tobias Tech Univ Dortmund Inst Machining Technol ISF D-44227 Dortmund Germany
sequential parameter optimization (SPO) is a popular model-assisted approach for tuning the parameters of metaheuristics, which is based on models from the Design and Analysis of Computer Experiments (DACE). Despite t... 详细信息
来源: 评论
On the Effect of Response Transformations in sequential parameter optimization
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EVOLUTIONARY COMPUTATION 2012年 第2期20卷 229-248页
作者: Wagner, Tobias Wessing, Simon TU Dortmund Inst Machining Technol ISF D-44227 Dortmund Germany TU Dortmund Chair Algorithm Engn D-44227 Dortmund Germany
parameter tuning of evolutionary algorithms (EAs) is attracting more and more interest. In particular, the sequential parameter optimization (SPO) framework for the model-assisted tuning of stochastic optimizers has r... 详细信息
来源: 评论
sequential parameter optimization for symbolic regression  12
Sequential parameter optimization for symbolic regression
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Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
作者: Thomas Bartz-Beielstein Oliver Flasch Martin Zaefferer Cologne University of Applied Sciences Cologne Germany
Modern Symbolic Regression (SR) engines are complex systems of many components, most of which require some form of parameterization. In this talk, we show how to apply sequential parameter optimization (SPO) as a rigo... 详细信息
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Joint sensing and power allocation in wideband cognitive radio networks
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TELECOMMUNICATION SYSTEMS 2016年 第2期62卷 375-386页
作者: Li, Min Hei, Yongqiang Qiu, Zhuo Xidian Univ State Key Lab Integrated Serv Networks Xian Peoples R China
This paper investigates the optimization problem in wideband cognitive radio networks. It focuses on jointly optimizing the decision threshold, sensing time and transmission power to maximize the aggregate throughput ... 详细信息
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Advanced concepts for multi-objective evolutionary optimization in aircraft industry
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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING 2011年 第G10期225卷 1081-1096页
作者: Naujoks, B. Trautmann, H. Wessing, S. Weihs, C. TU Dortmund Univ Fac Comp Sci D-44221 Dortmund Germany Cologne Univ Appl Sci Fac Comp Sci & Engn Sci Gummersbach Germany TU Dortmund Univ Stat Fac D-44221 Dortmund Germany
Evolutionary (multi-objective optimization) algorithms (EMOAs) are widely accepted to be competitive optimization methods in industry today. However, normally only standard techniques are employed by the engineering e... 详细信息
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Comparing SPO-tuned GP and NARX Prediction Models for Stormwater Tank Fill Level Prediction
Comparing SPO-tuned GP and NARX Prediction Models for Stormw...
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2010 IEEE World Congress on Computational Intelligence
作者: Flasch, Oliver Bartz-Beielstein, Thomas Davtyan, Artur Koch, Patrick Konen, Wolfgang Oyetoyan, Tosin Daniel Tamutan, Michael Cologne Univ Appl Sci Dept Comp Sci & Engn Sci D-51643 Gummersbach Germany
The prediction of fill levels in stormwater tanks is an important practical problem in water resource management. In this study state-of-the-art CI methods, i.e., Neural Networks (NN) and Genetic Programming (GP), are... 详细信息
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SPOT Applied to Non-Stochastic optimization Problems - An Experimental Study  12
SPOT Applied to Non-Stochastic Optimization Problems - An Ex...
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14th International Conference on Genetic and Evolutionary Computation Conference (GECCO)
作者: Bartz-Beielstein, Thomas Friese, Martina Naujoks, Boris Zaefferer, Martin Cologne Univ Appl Sci Fac Comp & Engn Sci D-51643 Gummersbach Germany
No abstract available.
来源: 评论
parameter Tuning Boosts Performance of Variation Operators in Multiobjective optimization
Parameter Tuning Boosts Performance of Variation Operators i...
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11th International Conference on Parallel Problem Solving from Nature
作者: Wessing, Simon Beume, Nicola Rudolph, Guenter Naujoks, Boris Tech Univ Dortmund Fak Informat Dortmund Germany
Typically, the variation operators deployed in evolutionary multiobjective optimization algorithms (EMOA) are either simulated binary crossover with polynomial mutation or differential evolution operators. This empiri... 详细信息
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Multi-Criteria optimization for Hard Problems under Limited Budgets  12
Multi-Criteria Optimization for Hard Problems under Limited ...
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14th International Conference on Genetic and Evolutionary Computation Conference (GECCO)
作者: Zaefferer, Martin Bartz-Beielstein, Thomas Friese, Martina Naujoks, Boris Flasch, Oliver Cologne Univ Appl Sci Fac Comp & Engn Sci D-51643 Gummersbach Germany
Many relevant industrial optimization tasks feature more than just one quality criterion. State-of-the-art multi-criteria optimization algorithms require a relatively large number of function evaluations (usually more... 详细信息
来源: 评论