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检索条件"主题词=Estimation of distribution algorithm"
436 条 记 录,以下是421-430 订阅
排序:
A Generalized Differential Evolution Combined with EDA for Multi-objective Optimization Problems
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4th International Conference on Intelligent Computing
作者: Chen, Wang Shi, Yan-jun Teng, Hong-fei Dalian Univ Technol Sch Mech Engn Dalian 116024 Peoples R China
This paper proposed a multi-objective evolutionary algorithm (called by GDE-EDA hereinafter). The proposed algorithm combined a generalized differential evolution (DE) with an estimation of distribution algorithm (EDA... 详细信息
来源: 评论
The role of a priori information in the minimization of contact potentials by means of estimation of distribution algorithms
The role of a priori information in the minimization of cont...
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5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (EvoBIO 2007)
作者: Santana, Roberto Larranaga, Pedro Lozano, Jose A. Univ Basque Country Dept Comp Sci & Artificial Intelligence Donostia San Sebastian Spain
Directed search methods and probabilistic approaches have been used as two alternative ways for computational protein design. This paper presents a hybrid methodology that combines features from both approaches. Three... 详细信息
来源: 评论
Dependency Trees, Permutations, and Quadratic Assignment Problem  07
Dependency Trees, Permutations, and Quadratic Assignment Pro...
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Annual Conference of Genetic and Evolutionary Computation Conference
作者: Pelikan, Martin Tsutsui, Shigeyoshi Kalapala, Rajiv Univ Missouri Dept Math & Comp Sci St Louis MO 63121 USA Hannan Univ Dept Management & Informat Sci Matsubara Osaka Japan
This paper describes and analyzes an estimation of distribution algorithm based on dependency tree models (dtEDA), which can explicitly encode probabilistic models for permutations. dtEDA is tested on deceptive orderi... 详细信息
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A general-purpose tunable landscape generator
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IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 2006年 第5期10卷 590-603页
作者: Gallagher, Marcus Yuan, Bo Univ Queensland Sch Informat Technol & Elect Engn Brisbane Qld 4072 Australia
The research literature on metalieuristic and evolutionary computation has proposed a large number of algorithms for the solution of challenging real-world optimization problems. It is often not possible to study theo... 详细信息
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A new algorithm of automatic programming: GEGEP
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6th International Conference on Simulated Evolution and Learning
作者: Du, Xin Li, Yueqiao Xie, Datong Kang, Lishan China Univ Geosci Dept Comp Sci & Technol Wuhan Peoples R China Shijiazhuang Univ Econ Dept Informat & Engn Shijiazhuang Peoples R China Wuhan Univ State Key Lab Software Engn Wuhan 430072 Peoples R China
Gene Expression Programming (GEP) has wide searching ability, simple representation, powerful genetic operators and the creation of high levels of complexity. However, it has some shortcomings, such as blind searching... 详细信息
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Clustering and learning Gaussian distribution for continuous optimization
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IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS 2005年 第2期35卷 195-204页
作者: Lu, Q Yao, X Univ Birmingham Sch Comp Sci Birmingham B15 2TT W Midlands England
Since the estimation of distribution algorithm (EDA) was introduced, different approaches in continuous domains have been developed. Initially, the single Gaussian distribution was broadly used when building the proba... 详细信息
来源: 评论
DE/EDA: A new evolutionary algorithm for global optimization
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INFORMATION SCIENCES 2005年 第3-4期169卷 249-262页
作者: Sun, JY Zhang, QF Tsang, EPK Univ Essex Dept Comp Sci Colchester CO4 3SQ Essex England
Differential evolution (DE) was very successful in solving the global continuous optimization problem. It mainly uses the distance and direction information from the current population to guide its further search. Est... 详细信息
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Probabilistic distribution models for EDA-based GP  05
Probabilistic distribution models for EDA-based GP
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Genetic and Evolutionary Computation Conference
作者: Yanai, Kohsuke Iba, Hitoshi Univ Tokyo Grad Sch Frontier Sci Dept Frontier Informat Kashiwa Chiba 2778561 Japan
This paper proposes a novel technique for a program evolution based on probabilistic models. In the proposed method, two probabilistic distribution models with probabilistic dependencies between variables are used tog... 详细信息
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Linkage identification for real-valued loci by fitness difference classification
Linkage identification for real-valued loci by fitness diffe...
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IEEE Congress on Evolutionary Computation
作者: Tsuji, M Munetomo, M Akama, K Hokkaido Univ Sapporo Hokkaido Japan
In order to enhance efficiency of genetic algorithms, it is important to identify a linkage set, i.e. a set of loci tightly linked to construct a building block. In this paper, we propose a novel linkage identificatio... 详细信息
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Discovering gene-gene interactions by inferring dags of Bayesian networks with EDA
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11th Joint International Computer Conference (JICC 2005)
作者: Dai, C Liu, J Wuhan Univ Sch Comp Wuhan 430079 Peoples R China
More and more experimental results have shown that genes do not function independently;instead they act on each other. To find the interactions among genes is one of the hottest topics in current genome research. The ... 详细信息
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