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检索条件"主题词=evolutionary algorithms"
12006 条 记 录,以下是641-650 订阅
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An (Accidental) Exploration of Alternatives to evolutionary algorithms for SBSE  8th
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8th International Symposium on Search Based Software Engineering (SSBSE)
作者: Nair, Vivek Menzies, Tim Chen, Jianfeng North Carolina State Univ Raleigh NC 27695 USA
SBSE researchers often use an evolutionary algorithm to solve various software engineering problems. This paper explores an alternate approach of sampling. This approach is called SWAY (Samplying WAY) and finds the (n... 详细信息
来源: 评论
Parameterized Analysis of Multi-objective evolutionary algorithms and the Weighted Vertex Cover Problem
Parameterized Analysis of Multi-objective Evolutionary Algor...
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14th International Conference on Parallel Problem Solving from Nature (PPSN)
作者: Pourhassan, Mojgan Shi, Feng Neumann, Frank Univ Adelaide Sch Comp Sci Optimisat & Logist Adelaide SA Australia Cent S Univ Sch Informat Sci & Engn Changsha Hunan Peoples R China
A rigorous runtime analysis of evolutionary multi-objective optimization for the classical vertex cover problem in the context of parameterized complexity analysis has been presented by Kratsch and Neumann [1]. In thi... 详细信息
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Tuning of Multiple Parameter Sets in evolutionary algorithms  16
Tuning of Multiple Parameter Sets in Evolutionary Algorithms
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Genetic and evolutionary Computation Conference (GECCO)
作者: Andersson, Martin Bandaru, Sunith Ng, Amos H. C. Univ Skovde POB 408 Skovde Sweden
evolutionary optimization algorithms typically use one or more parameters that control their behavior. These parameters, which are often kept constant, can be tuned to improve the performance of the algorithm on speci... 详细信息
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Branches of evolutionary algorithms and their Effectiveness for Clustering Records  11
Branches of Evolutionary Algorithms and their Effectiveness ...
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IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)
作者: Beg, A. H. Islam, Md Zahidul Charles Sturt Univ Sch Comp & Math Panorama Ave Bathurst NSW 2795 Australia
Clustering is a process that aims to group the similar records in one cluster and dissimilar records in different clusters. K-means is one of the most popular and well-known clustering technique for its simplicity and... 详细信息
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An Analytic Expression of Relative Approximation Error for a Class of evolutionary algorithms
An Analytic Expression of Relative Approximation Error for a...
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IEEE Congress on evolutionary Computation (CEC) held as part of IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: He, Jun Aberystwyth Univ Dept Comp Sci Aberystwyth SY23 3DB Dyfed Wales
An important question in evolutionary computation is how good solutions evolutionary algorithms can produce. This paper aims to provide an analytic analysis of solution quality in terms of the relative approximation e... 详细信息
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Accelerated evolutionary algorithms with ParameterImportance based Population Initialization for Variation-aware Analog Yield Optimization  59
Accelerated Evolutionary Algorithms with ParameterImportance...
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59th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
作者: Kondamadugula, Sita Naidu, Srinath R. Int Inst Informat Technol Bangalore Karnataka India
evolutionary algorithms are popularly used methods to estimate yield for faster convergence. Monte-Carlo is the method of choice for accurate yield estimation. Standard Monte-Carlo methods suffer from huge computation... 详细信息
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Benchmarking Languages for evolutionary algorithms  19th
Benchmarking Languages for Evolutionary Algorithms
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19th European Conference on the Applications of evolutionary Computation (EvoApplications)
作者: Merelo, J. J. Castillo, Pedro Blancas, Israel Romero, Gustavo Garcia-Sanchez, Pablo Fernandez-Ares, Antonio Rivas, Victor Garcia-Valdez, Mario Univ Granada Dept Comp Architecture & Technl Granada Spain Univ Granada CITIC Granada Spain Univ Jaen Dept Informat Jaen Spain Inst Politecn Tijuana Tijuana Mexico
Although performance is important, several other issues should be taken into account when choosing a particular language for implementing an evolutionary algorithm, such as the fact that the speed of different languag... 详细信息
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On Query-Adaptive Online Partitioning: A Study of evolutionary algorithms  35
On Query-Adaptive Online Partitioning: A Study of Evolutiona...
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35th IEEE International Performance Computing and Communications Conference (IPCCC)
作者: Zhang, Ting Tran, Duc A. Univ Massachusetts Dept Comp Sci Boston MA 02125 USA
This paper initiates a new study on online partitioning algorithms that are sequentially optimized for a query sequence. As queries arrive one at a time, given the option to reconfigure the partition after each query ... 详细信息
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Discovering Combos in Fighting Games with evolutionary algorithms  16
Discovering Combos in Fighting Games with Evolutionary Algor...
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Genetic and evolutionary Computation Conference (GECCO)
作者: Zuin, Gianlucca L. Macedo, Yuri P. A. Chaimowicz, Luiz Pappa, Gisele L. Univ Fed Minas Gerais Dept Ciencia Comp Belo Horizonte MG Brazil
In fighting games, players can perform many different actions at each instant of time, leading to an exponential number of possible sequences of actions. Some of these combinations can lead to unexpected behaviors, wh... 详细信息
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Bayesian Optimization for Parameter Tuning in evolutionary algorithms
Bayesian Optimization for Parameter Tuning in Evolutionary A...
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IEEE Congress on evolutionary Computation (CEC) held as part of IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Roman, Ibai Ceberio, Josu Mendiburu, Alexander Lozano, Jose A. Univ Basque Country UPV EHU Fac Comp Sci Donostia San Sebastian 20018 Spain Univ Basque Country UPV EHU Sch Engn Bilbao 48013 Spain
Advances in evolutionary computation have demonstrated that evolutionary algorithms (EAs) proposed in this area are a solid alternative for solving combinatorial and continuous optimization problems. Despite their suc... 详细信息
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