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检索条件"主题词=Estimation of Distribution algorithms"
309 条 记 录,以下是301-310 订阅
排序:
Simulation Optimization Using the Cross-Entropy Method with Optimal Computing Budget Allocation
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ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION 2010年 第1期20卷 4-4页
作者: He, Donghai Lee, Loo Hay Chen, Chun-Hung Fu, Michael C. Wasserkrug, Segev George Mason Univ Dept Syst Engn & Operat Res Fairfax VA 22030 USA Natl Univ Singapore Dept Ind & Syst Engn Singapore 119077 Singapore Univ Maryland Robert H Smith Sch Business Decis Operat & Informat Technol Dept College Pk MD 20742 USA IBM Haifa Res Lab Haifa Israel
We propose to improve the efficiency of simulation optimization by integrating the notion of optimal computing budget allocation into the Cross-Entropy (CE) method, which is a global optimization search approach that ... 详细信息
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Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search
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GENETIC PROGRAMMING AND EVOLVABLE MACHINES 2023年 第2期24卷 17-17页
作者: Wittenberg, David Rothlauf, Franz Gagne, Christian Johannes Gutenberg Univ Mainz Dept Dermatol Mainz Rhineland Palat Germany Laval Univ Quebec City PQ Canada
Denoising autoencoder genetic programming (DAE-GP) is a novel neural network-based estimation of distribution genetic programming approach that uses denoising autoencoder long short-term memory networks as a probabili... 详细信息
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Experimental analysis of a statistical multiploid genetic algorithm for dynamic environments
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ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH 2022年 35卷
作者: Gazioglu, Emrullah Etaner-Uyar, A. Sima Istanbul Tech Univ Comp & Informat Dept Istanbul Turkey Fatih Sultan Mehmet Vakif Univ Comp Engn Dept Istanbul Turkey
Dynamic environments are still a big challenge for optimization algorithms. In this paper, a Genetic Algorithm using both Multiploid representation and the Bayesian Decision method is proposed. By Multiploid represent... 详细信息
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An Enhanced Nested Partitions Method
An Enhanced Nested Partitions Method
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2008 IEEE International Conference on Automation Science and Engineering (CASE 2008), vol.1
作者: Jin Sun Qian-chuan Zhao Peter B. Luh Center for Intelligent and Networked Systems Department of Automation TNLIST Tsinghua University Beijing China
Combinatorial optimization problems arise in many applications such as task assignment, facility location, and elevator scheduling. One powerful method to address those difficult problems is the nested partitions meth... 详细信息
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iBOA: the incremental bayesian optimization algorithm  08
iBOA: the incremental bayesian optimization algorithm
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Proceedings of the 10th annual conference on Genetic and evolutionary computation
作者: Martin Pelikan Kumara Sastry David E. Goldberg University of Missouri in St. Louis St. Louis MO USA University of Illinois at Urbana-Champaign Urbana IL USA
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of the Bayesian network. iBOA is shown to b... 详细信息
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Designing EDAs by using the elitist convergent EDA concept and the boltzmann distribution  08
Designing EDAs by using the elitist convergent EDA concept a...
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Proceedings of the 10th annual conference on Genetic and evolutionary computation
作者: Sergio Ivvan Valdez Arturo Hernandez-Aguirre Salvador Botello-Rionda Centre for Research in Mathematics A.C. Guanajuato Mexico
This paper presents a theoretical definition for designing EDAs called Elitist Convergent estimation of distribution Algorithm (ECEDA), and a practical implementation: the Boltzmann Univariate Marginal distribution Al... 详细信息
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A Unified Optimization Framework for Population-based Methods
A Unified Optimization Framework for Population-based Method...
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2008 IEEE International Conference on Automation Science and Engineering (CASE 2008), vol.1
作者: Jin Sun Qian-chuan Zhao Peter B. Luh Center for Intelligent and Networked Systems Department of Automation Tsinghua University Beijing China
Combinatorial optimization problems arise in many applications such as task assignment, facility location, and elevator scheduling. A wide variety of population-based solution methods have been developed, either insta... 详细信息
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HYBRID MUSIC RECOMMENDER USING CONTENT-BASED AND SOCIAL INFORMATION
HYBRID MUSIC RECOMMENDER USING CONTENT-BASED AND SOCIAL INFO...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Paulo Chiliguano Gyorgy Fazekas Queen Mary University of London School of Electronic Engineering and Computer Science Mile End Road London E1 4NS UK
Internet resources available today, including songs, albums, playlists or podcasts, that a user cannot discover if there is not a tool to filter the items that the user might consider relevant. Several recommendation ... 详细信息
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Using symmetry and evolutionary search to minimize sorting networks
The Journal of Machine Learning Research
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The Journal of Machine Learning Research 2013年 第1期14卷
作者: Kevin Murphy Bernhard Schölkopf Vinod K. Valsalam Risto Miikkulainen Google MPI for Intelligent Systems Department of Computer Sciences The University of Texas at Austin Austin TX
Sorting networks are an interesting class of parallel sorting algorithms with applications in multiprocessor computers and switching networks. They are built by cascading a series of comparison-exchange units called c... 详细信息
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