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检索条件"主题词=Multi-Objective Evolutionary Algorithms"
321 条 记 录,以下是271-280 订阅
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Hybrid multi-objective Greenhouse Crop Optimization using the Parallel Island Model
Hybrid Multi-Objective Greenhouse Crop Optimization using th...
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7th International Conference on Engineering Computational Technology
作者: Marquez, A. L. Gil, C. Manzano-Agugliaro, F. Montoya, F. G. Montoya, M. G. Banos, R. Univ Almeria Dept Comp Architecture & Elect La Canada De San Urbano Almeria Spain Univ Almeria Dept Rural Engn La Canada De San Urbano Almeria Spain
multi-objective evolutionary algorithms are commonly used to solve complex problems. It is possible to improve the quality of the solutions they can produce by means of employing advanced parallelization techniques. T... 详细信息
来源: 评论
multi-objective Robust Static Mapping of Independent Tasks on Grids
Multi-objective Robust Static Mapping of Independent Tasks o...
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2010 IEEE World Congress on Computational Intelligence
作者: Dorronsoro, Bernabe Bouvry, Pascal Canero, J. Alberto Maciejewski, Anthony A. Siegel, Howard Jay Univ Luxembourg Fac Sci & Commun Luxembourg Luxembourg Colorado State Univ Dept ECE Ft Collins CO USA Colorado State Univ Dept CS Ft Collins CO 80523 USA
We study the problem of efficiently allocating incoming independent tasks onto the resources of a Grid system. Typically, it is assumed that the estimated time to compute each task on every machine is known. We are ma... 详细信息
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Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework
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INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 2009年 第7期50卷 1066-1080页
作者: Antonelli, Michela Ducange, Pietro Lazzerini, Beatrice Marcelloni, Francesco Univ Pisa Dipartimento Ingn Informaz Elettron Informat Tele I-56122 Pisa Italy
In this paper we propose a multi-objective evolutionary algorithm to generate Mamdani fuzzy rule-based systems with different good trade-offs between complexity and accuracy. The main novelty of the algorithm is that ... 详细信息
来源: 评论
A fuzzy guided multi-objective evolutionary algorithm model for solving transportation problem
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EXPERT SYSTEMS WITH APPLICATIONS 2009年 第4期36卷 8255-8268页
作者: Lau, H. C. W. Chan, T. M. Tsui, W. T. Chan, F. T. S. Ho, G. T. S. Choy, K. L. Hong Kong Polytech Univ Dept Ind & Syst Engn Kowloon Hong Kong Peoples R China Univ Hong Kong Dept Ind & Mfg Syst Engn Pokfulam Hong Kong Peoples R China
In the field Of Supply chain management and logistics, using vehicles to deliver products from suppliers to customers is one of the major operations. Before transporting products, optimizing the routing of vehicles is... 详细信息
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Context adaptation of fuzzy systems through a multi-objective evolutionary approach based on a novel interpretability index
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SOFT COMPUTING 2009年 第5期13卷 437-449页
作者: Botta, Alessio Lazzerini, Beatrice Marcelloni, Francesco Stefanescu, Dan C. IMT Lucca Inst Adv Studies I-55100 Lucca Italy Univ Pisa Dipartimento Ingn Infromaz I-56122 Pisa Italy Suffolk Univ Dept Math & Comp Sci Boston MA USA
Context adaptation (CA) based on evolutionary algorithms is certainly a promising approach to the development of fuzzy rule-based systems (FRBSs). In CA, a context-free model is instantiated to a context-adapted FRBS ... 详细信息
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multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems
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evolutionary INTELLIGENCE 2009年 第1-2期2卷 21-37页
作者: Antonelli, Michela Ducange, Pietro Lazzerini, Beatrice Marcelloni, Francesco Univ Pisa Dipartimento Ingn Informaz Elett Informat Telecom Via Diotisalvi 2 I-56122 Pisa Italy
In this paper, we propose a multi-objective evolutionary algorithm (MOEA) to generate Mamdani fuzzy rule-based systems with different trade-offs between accuracy and complexity by learning concurrently granularities o... 详细信息
来源: 评论
A multi-objective evolutionary algorithm for protein structure prediction with immune operators
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COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING 2009年 第4期12卷 407-413页
作者: Judy, M. V. Ravichandran, K. S. Murugesan, K. SASTRA Univ Sch Comp Thanjavur India Natl Inst Technol Dept Math Tiruchirappalli India
Genetic algorithms (GA) are often well suited for optimisation problems involving several conflicting objectives. It is more suitable to model the protein structure prediction problem as a multi-objective optimisation... 详细信息
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Non-dominated multi-objective evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery
Non-dominated Multi-objective Evolutionary Algorithm Based o...
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4th International Workshop on Hybrid Artificial Intelligence Systems
作者: Carmona, C. J. Gonzalez, P. del Jesus, M. J. Herrera, F. Univ Jaen Dept Comp Sci Jaen Spain AI Univ Granada Dept Comp Sci Granada Spain
A new multi-objective evolutionary model for Subgroup discovery with fuzzy rules is presented in this paper. The method resolves Subgroup discovery problems based on the hybridization between fuzzy logic and genetic a... 详细信息
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Scheduling for the National Hockey League Using a multi-objective evolutionary Algorithm
Scheduling for the National Hockey League Using a Multi-obje...
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22nd Australian Joint Conference on Artificial Intelligence
作者: Craig, Sam While, Lyndon Barone, Luigi Univ Western Australia Nedlands WA 6009 Australia
We describe a multi-objective evolutionary algorithm that derives schedules for the National Hockey League according to three objectives: minimising the teams' total travel, promoting equity in rest time between g... 详细信息
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A Parallel Implementation of a multi-objective evolutionary Algorithm
A Parallel Implementation of a Multi-objective Evolutionary ...
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9th International Conference on Information Technology and Applications in Biomedicine
作者: Kannas, Christos C. Nicolaou, Christos A. Pattichis, Constantinos S. Univ Cyprus Noesis Chemoinformat CY-1678 Nicosia Cyprus Univ Cyprus Dept Comp Sci CY-1678 Nicosia Cyprus Univ Cyprus Cyprus Inst Noesis Chemoinformat CY-1678 Nicosia Cyprus
multi-objective evolutionary algorithms (MOEAs) have features that can be exploited to harness the processing power offered by modern multi-core CPUs. Modern programming languages offer the ability to use threads and ... 详细信息
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