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检索条件"主题词=Multi-objective evolutionary algorithms"
321 条 记 录,以下是281-290 订阅
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On the use of multi-objective evolutionary algorithms for the induction of fuzzy classification rule systems
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BIOSYSTEMS 2005年 第2期81卷 101-112页
作者: Setzkorn, C Paton, RC Univ Liverpool Dept Comp Sci Liverpool L7 8XP Merseyside England
Extracting comprehensible and general classifiers from data in the form of rule systems is an important task in many problem domains. This study investigates the utility of a multi-objective evolutionary algorithm (MO... 详细信息
来源: 评论
A multi-objective evolutionary Algorithm for Tuning Fuzzy Rule-Based Systems with Measures for Preserving Interpretability
A Multi-objective Evolutionary Algorithm for Tuning Fuzzy Ru...
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Joint World Congress of International-Fuzzy-Systems-Association (IFSA)/European Conference of European-Society-for-Fuzzy-Logic-and-Technology (EUSFLAT)
作者: Gacto, M. J. Alcala, R. Herrera, F. Univ Jaen Dept Comp Sci Jaen Spain Univ Granada Dept Comp Sci & Artificial Intelligence Granada Spain
In this contribution we propose a multi-objective evolutionary algorithm for Tuning Fuzzy Rule-Based Systems by considering two objectives, accuracy and interpretability. To this aim we define a new objective that all... 详细信息
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Optimization of ballast plan in launch jacket load-out
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STRUCTURAL AND multiDISCIPLINARY OPTIMIZATION 2009年 第3期38卷 267-288页
作者: Kurniawan, Adi Ma, Guowei Nanyang Technol Univ Sch Civil & Environm Engn Maritime Res Ctr Singapore 639798 Singapore
The calculation of ballast plan in load-out operations is generally performed assuming a rigid barge. This assumption may not be reliable since in reality the barge is flexible. Having incorrect ballast plan may lead ... 详细信息
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A Three-objective evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems
A Three-Objective Evolutionary Approach to Generate Mamdani ...
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4th International Workshop on Hybrid Artificial Intelligence Systems
作者: Antonelli, Michela Ducange, Pietro Lazzerini, Beatrice Marcelloni, Francesco Univ Pisa Dipartimento Ingn Informaz I-56122 Pisa Italy
In the last years, several papers have proposed to adopt multi-objective evolutionary algorithms (MOEAs) to generate Mamdani fuzzy rule-based systems with different trade-offs between interpretability and accuracy. Si... 详细信息
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multi-objective design and control of hybrid systems minimizing costs and unmet load
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ELECTRIC POWER SYSTEMS RESEARCH 2009年 第1期79卷 170-180页
作者: Bernal-Agustin, Jose L. Dufo-Lopez, Rodolfo Univ Zaragoza Dept Elect Engn Zaragoza 50018 Spain
This paper presents, for the first time, the application of the strength Pareto evolutionary algorithm to the multi-objective design of isolated hybrid systems, minimising both the total cost throughout the useful lif... 详细信息
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A comparison between dynamic weighted aggregation and NSGA-II for multi-objective evolutionary algorithms
A comparison between dynamic weighted aggregation and NSGA-I...
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IASTED International Conference on Computational Intelligence
作者: Drzadzewski, G Wineberg, M Univ Guelph Guelph ON N1G 2W1 Canada
The performance of the Dynamic Weight Aggregation system as applied to a Genetic Algorithm (DWAGA) and NSGA-II are evaluated and compared against each other. The algorithms are run on 11 test functions. The performanc... 详细信息
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Quality-time analysis of multi-objective evolutionary algorithms  05
Quality-time analysis of multi-objective evolutionary algori...
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Genetic and evolutionary Computation Conference
作者: Chen, Jian-Hung Ho, Shinn-Ying Goldberg, David E. Acad Sinica Inst Informat Sci Taipei 115 Taiwan
A quality-time analysis of multi-objective evolutionary algorithms (MOEAs) based on schema theorem and building blocks hypothesis is developed. A bicriteria OneMax problem, a hypothesis of niche and species, and a def... 详细信息
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Set-based concept selection in multi-objective problems: optimality versus variability approach
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JOURNAL OF ENGINEERING DESIGN 2009年 第3期20卷 217-242页
作者: Avigad, Gideon Moshaiov, Amiram ORT Braude Coll Engn Dept Mech Engn Karmiel Israel Tel Aviv Univ Dept Mech Engn IL-69978 Tel Aviv Israel
This paper presents a novel approach to support the selection of conceptual solutions to multi-objective problems. The proposed method involves a comparison between concepts, based on the performances of sets of solut... 详细信息
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multi-objective Feature Selection in QSAR Using a Machine Learning Approach
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QSAR & COMBINATORIAL SCIENCE 2009年 第11-12期28卷 1509-1523页
作者: Soto, Axel J. Cecchini, Rocio L. Vazquez, Gustavo E. Ponzoni, Ignacio Univ Nacl Sur Dept Ciencias & Ingn Computac LIDeCC RA-8000 Bahia Blanca Buenos Aires Argentina Univ Nacl Sur CONICET RA-8000 Bahia Blanca Buenos Aires Argentina
The selection of descriptor subsets for QSAR/QSPR is a hard combinatorial problem that requires the evaluation of complex relationships in order to assess the relevance of the selected subsets. In this paper, we descr... 详细信息
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multi-objective Query Optimization Using Topic Ontologies
Multi-objective Query Optimization Using Topic Ontologies
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8th International Conference on Flexible Query Answering Systems
作者: Cecchini, Rocio L. Lorenzetti, Carlos M. Maguitman, Ana G. Univ Nacl Sur Dept Ciencias & Ingn Computac RA-8000 Bahia Blanca Buenos Aires Argentina
Formulating search queries based on a thematic context is a challenging problem due to the large number of combinations in which terms can be used to reflect the topic of interest. This paper presents a novel approach... 详细信息
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