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检索条件"主题词=multiobjective evolutionary algorithms"
146 条 记 录,以下是11-20 订阅
Synthesis of multiple cross-section pin fin heat sinks using multiobjective evolutionary algorithms
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INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 2018年 118卷 462-470页
作者: Ramphueiphad, Sanchai Bureerat, Sujin Khon Kaen Univ Fac Engn Sustainable & Infrastruct Res & Dev Ctr Dept Mech Engn Khon Kaen 40002 Thailand
This paper demonstrates multiobjective optimization of a multi cross-section pin fin heat sink (MCSPFHS) for use in electronic devices. The design problem is assigned to optimize junction temperature and fan pumping p... 详细信息
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Comparison of multiobjective evolutionary algorithms for Prioritized Urban Waste Collection in Montevideo, Uruguay
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Electronic Notes in Discrete Mathematics 2018年 69卷 93-100页
作者: Nesmachnow, Sergio Rossit, Diego Toutouh, Jamal Universidad de la República Uruguay Universidad Nacional del Sur-CONICET Argentina University of Malaga Spain
Urban waste collection is an important problem in modern cities, where efficient techniques are demanded to reduce large budgetary expenses, and avoid environmental and social problems. This article presents two state... 详细信息
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multiobjective evolutionary algorithms for Operational Planning Problems in Open-Pit Mining  17
Multiobjective Evolutionary Algorithms for Operational Plann...
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Genetic and evolutionary Computation Conference (GECCO)
作者: Alexandre, Rafael F. Campelo, Felipe Vasconcelos, Joao A. Univ Fed Ouro Preto Dept Exact & Appl Sci BR-35931026 Joao Monlevade Brazil Univ Fed Minas Gerais Grad Progr Elect Engn Dept Elect Engn BR-31270901 Belo Horizonte MG Brazil
This paper addresses the problem of planning and allocation of trucks in open-pit mines in terms of three conflicting objectives, and adapts three algorithms for its solution: NSGA-II, SPEA2, and a variant of the Pare... 详细信息
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Analysis of Solution Quality of multiobjective evolutionary algorithms for Service Restoration in Distribution Systems
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JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS 2017年 第6期28卷 796-805页
作者: Sanches, Danilo Sipoli Castoldi, Marcelo Favoretto Augusto London, Joao Bosco, Jr. Botazzo Delbem, Alexandre Claudio Univ Tecnol Fed Parana Av Alberto Carazzai 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 comparative study of six multiobjective evolutionary algorithms (MOEAs) with the node-depth encoding (NDE) which have been used to solve the service restoration in distribution systems. The study... 详细信息
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Scaling-up multiobjective evolutionary clustering algorithms using stratification
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PATTERN RECOGNITION LETTERS 2017年 93卷 69-77页
作者: Garcia-Piquer, Alvaro Bacardit, Jaume Fornells, Albert Golobardes, Elisabet Inst Space Sci IEEC CSIC Campus UABC Can Magrans S-N Barcelona 08193 Spain Newcastle Univ Sch Comp Sci Newcastle NE1 7RU England Univ Ramon Llull HTSI Res Grp Hospitality Tourism & Mobil Av Marques de Mulhacen 40-42 Barcelona 08034 Spain Univ Ramon Llull GR SETAD Av Quatre Camins 30 Barcelona 08022 Spain
multiobjective evolutionary clustering algorithms are based on the optimization of several objective functions that guide the search following a cycle based on evolutionary algorithms. Their capabilities allow them to... 详细信息
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A multiobjective model and evolutionary algorithms for robust time and space assembly line balancing under uncertain demand
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OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE 2016年 58卷 55-68页
作者: Chica, Manuel Bautista, Joaquin Cordon, Oscar Damas, Sergio European Ctr Soft Comp Mieres 33600 Spain Univ Politecn Cataluna ETSEIB E-08028 Barcelona Spain Univ Granada DECSAI E-18071 Granada Spain Univ Granada CITIC UGR E-18071 Granada Spain
Changes in demand when manufacturing different products require an optimization model that includes robustness in its definition and methods to deal with it. In this work we propose the r-TSALBP, a multiobjective mode... 详细信息
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Preventive maintenance and replacement optimization on CNC machine using multiobjective evolutionary algorithms
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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2015年 第9-12期76卷 2131-2146页
作者: Moghaddam, Kamran S. Calif State Univ Fresno Dept Informat Syst & Decis Sci Craig Sch Business Fresno CA 93740 USA
In this paper, a multiobjective optimization model is formulated to determine the optimal preventive maintenance plans for a repairable multicomponent manufacturing system with increasing rate of occurrence of failure... 详细信息
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multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
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ANNALS OF OPERATIONS RESEARCH 2014年 第1期219卷 187-202页
作者: Garcia-Alonso, Carlos R. Perez-Naranjo, Leonor M. Fernandez-Caballero, Juan C. Univ Cordoba SPAIN Fac Business Adm ETEA Cordoba 14004 Spain Univ Pablo de Olavide Dept Business Adm Seville 41013 Spain Univ Cordoba Comp Sci & Numer Anal Dept E-14071 Cordoba Spain
Local Indicators of Spatial Aggregation (LISA) can be used as objectives in a multicriteria framework when highly autocorrelated areas (hot-spots) must be identified and geographically located in complex areas. To do ... 详细信息
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Survey of multiobjective evolutionary algorithms for Data Mining: Part II
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IEEE TRANSACTIONS ON evolutionary COMPUTATION 2014年 第1期18卷 20-35页
作者: Mukhopadhyay, Anirban Maulik, Ujjwal Bandyopadhyay, Sanghamitra Coello Coello, Carlos A. Univ Kalyani Dept Comp Sci & Engn Kalyani 741235 W Bengal India Jadavpur Univ Dept Comp Sci & Engn Kolkata 700032 India Indian Stat Inst Machine Intelligence Unit Kolkata 700108 India CINVESTAV IPN Dept Comp Evolutionary Computat Grp Mexico City 07360 DF Mexico
This paper is the second part of a two-part paper, which is a survey of multiobjective evolutionary algorithms for data mining problems. In Part I [1], multiobjective evolutionary algorithms used for feature selection... 详细信息
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A Survey of multiobjective evolutionary algorithms for Data Mining: Part I
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IEEE TRANSACTIONS ON evolutionary COMPUTATION 2014年 第1期18卷 4-19页
作者: Mukhopadhyay, Anirban Maulik, Ujjwal Bandyopadhyay, Sanghamitra Coello Coello, Carlos Artemio Univ Kalyani Dept Comp Sci & Engn Kalyani 741235 W Bengal India Jadavpur Univ Dept Comp Sci & Engn Kolkata 700032 India Indian Stat Inst Machine Intelligence Unit Kolkata 700108 India CINVESTAV IPN Dept Comp Evolutionary Computat Grp Mexico City DF Mexico
The aim of any data mining technique is to build an efficient predictive or descriptive model of a large amount of data. Applications of evolutionary algorithms have been found to be particularly useful for automatic ... 详细信息
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