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检索条件"主题词=Multi-Objective Evolutionary Algorithms"
321 条 记 录,以下是181-190 订阅
排序:
Many objective Particle Swarm Optimization
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INFORMATION SCIENCES 2016年 第0期374卷 115-134页
作者: Figueiredo, E. M. N. Ludermir, T. B. Bastos-Filho, C. J. A. Univ Fed Pernambuco Ctr Informat Rua Estrela 52 BR-52060160 Recife PE Brazil Univ Pernambuco Escola Politecn Pernambuco Recife PE Brazil
Many-objective problems refer to the optimization problems containing more than three conflicting objectives. To obtain a representative set of well-distributed non-dominated solutions close to Pareto front in the obj... 详细信息
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Optimisation of photovoltaic-diesel-battery stand-alone systems minimising system weight
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ENERGY CONVERSION AND MANAGEMENT 2016年 第Jul.期119卷 279-288页
作者: Cristobal-Monreal, Ivan R. Dufo-Lopez, Rodolfo Ctr Univ Def Acad Gen Militar Ctra Huesca S-N Zaragoza 50090 Spain Univ Zaragoza Dept Elect Engn Calle Maria de Luna 3 Zaragoza 50018 Spain
This article shows a new method for the optimisation of stand-alone (off-grid) hybrid systems (photovoltaic-diesel-battery) to supply the electricity of mobile systems such as non-governmental organization hospitals, ... 详细信息
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A multi-Criteria Approach to Rank the Municipalities of the States of Mexico by its Marginalization Level: The Case of Jalisco
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INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING 2017年 第2期16卷 473-513页
作者: Leyva Lopez, Juan Carlos Solano Noriega, Jesus Jaime Gastelum Chavira, Diego Alonso Univ Occidente Econ & Management Sci Dept Blvd Lola Beltran & Blvd Rolando Arjona Culiacan Sinaloa Mexico
Marginalization studies of a population are tools that enable the Mexican government to understand and compare the socio-demographic situation of different regions of the country. The goal is to implement effectively ... 详细信息
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μG2-ELM: An upgraded implementation of μ G-ELM
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NEUROCOMPUTING 2016年 171卷 1302-1312页
作者: Lacruz, B. Lahoz, D. Mateo, P. M. Univ Zaragoza Dept Metodos Estadist E-50009 Zaragoza Spain
mu G-ELM is a multiobjective evolutionary algorithm which looks for the best (in terms of the MSE) and most compact artificial neural network using the ELM methodology. In this work we present the mu G2-ELM, an upgrad... 详细信息
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An improved multi-objective population-based extremal optimization algorithm with polynomial mutation
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INFORMATION SCIENCES 2016年 330卷 49-73页
作者: Zeng, Guo-Qiang Chen, Jie Li, Li-Min Chen, Min-Rong Wu, Lie Dai, Yu-Xing Zheng, Chong-Wei Wenzhou Univ Dept Elect & Elect Engn Wenzhou 325035 Peoples R China S China Normal Univ Sch Comp Guangzhou 510631 Guangdong Peoples R China
As a recently developed evolutionary algorithm inspired by far-from-equilibrium dynamics of self-organized criticality, extremal optimization (EO) has been successfully applied to a variety of benchmark and engineerin... 详细信息
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Selection mechanisms based on the maximin fitness function to solve multi-objective optimization problems
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INFORMATION SCIENCES 2016年 332卷 131-152页
作者: Menchaca-Mendez, Adriana Coello Coello, Carlos A. IPN CINVESTAV Dept Comp Mexico City 07300 DF Mexico
In this paper, we study three selection mechanisms based on the maximin fitness function and we propose another one. These selection mechanisms give rise to the following MOEAs: "MC-MOEA", "MD-MOEA"... 详细信息
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Applying multi-objective evolutionary algorithms to QoS-Aware Web Service Composition
Applying Multi-Objective Evolutionary Algorithms to QoS-Awar...
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6th International Conference on Advanced Data Mining and Applications (ADMA)
作者: Li, Li Cheng, Peng Ou, Ling Zhang, Zili Southwest Univ Chongqing Peoples R China
Finding optimal solutions for QoS-aware Web service composition with conflicting objectives and various restrictions on quality matrices is a NP-hard problem. This paper proposes the use of multi-objective evolutionar... 详细信息
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A multi-objective Genetic Local Search Algorithm for Optimal Feature Subset Selection
A Multi-objective Genetic Local Search Algorithm for Optimal...
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International Conference on Computational Science and Computational Intelligence (CSIC)
作者: Tian, David Leeds Beckett Univ Leeds Sustainabil Inst Leeds LS1 3HE W Yorkshire England
Feature selection algorithms select the most relevant features of a data set to improve the classification performance of the machine learning classifiers trained using the data set. This paper proposes a feature sele... 详细信息
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multiobjective Discrete Differential Evolution for Service Restoration in Energy Distribution Systems
Multiobjective Discrete Differential Evolution for Service R...
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Genetic and evolutionary Computation Conference (GECCO)
作者: Sanches, Danilo S. London, Joao Bosco A., Jr. Delbem, Alexandre C. B. Univ Tecnol Fed Parana Cornelio Procopio PR Brazil Univ Sao Paulo Sao Carlos Sch Engn Sao Carlos SP Brazil Univ Sao Paulo Inst Math & Comp Sci Sao Carlos SP Brazil
This paper presents a new multiobjective discrete differential evolution for service restoration in distribution systems. The proposed approach was compared with other five multiobjective evolutionary algorithms (MOEA... 详细信息
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A multi-objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients
A Multi-Objective Approach to Predicting Motor and Cognitive...
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Genetic and evolutionary Computation Conference (GECCO)
作者: Vallejo, Marta Cosgrove, Jeremy Alty, Jane E. Jamieson, Stuart Smith, Stephen L. Corne, David W. Lones, Michael A. Heriot Watt Univ Dept Comp Sci Edinburgh Midlothian Scotland Leeds Gen Infirm Dept Neurol Leeds W Yorkshire England Univ York Dept Elect York N Yorkshire England
Parkinson's disease (PD) is a chronic neurodegenerative condition. Traditionally categorised as a movement disorder, nowadays it is recognised that PD can also lead to significant cognitive dysfunction including, ... 详细信息
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