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检索条件"主题词=Multi-Objective Genetic algorithm"
725 条 记 录,以下是121-130 订阅
排序:
A multi-objective genetic algorithm for a bi-objective facility location problem with partial coverage
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TOP 2016年 第1期24卷 206-232页
作者: Karasakal, Esra Silav, Ahmet Middle E Tech Univ Dept Ind Engn TR-06800 Ankara Turkey
In this study, we present a bi-objective facility location model that considers both partial coverage and service to uncovered demands. Due to limited number of facilities to be opened, some of the demand nodes may no... 详细信息
来源: 评论
multi-objective genetic algorithm based innovative wind farm layout optimization method
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ENERGY CONVERSION AND MANAGEMENT 2015年 105卷 1318-1327页
作者: Chen, Ying Li, Hua He, Bang Wang, Pengcheng Jin, Kai Texas A&M Univ Kingsville Dept Mech & Ind Engn Kingsville TX 78363 USA
Layout optimization has become one of the critical approaches to increase power output and decrease total cost of a wind farm. Previous researches have applied intelligent algorithms to optimizing the wind farm layout... 详细信息
来源: 评论
multi-objective genetic algorithm for berth allocation problem considering daytime preference
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COMPUTERS & INDUSTRIAL ENGINEERING 2015年 89卷 2-14页
作者: Hu, Zhi-Hua Shanghai Maritime Univ Logist Res Ctr Shanghai 200135 Peoples R China
Maximization of operational efficiency and minimization of cost are pursued by terminal operators, whereas daytime preference is increasingly emphasized by governments, terminal operators and workers. Daytime preferen... 详细信息
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Identification of Medicinal Plant by Fuzzy Local Binary Pattern and multi objective genetic algorithm  5
Identification of Medicinal Plant by Fuzzy Local Binary Patt...
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International Conference on Computer, Control, Informatics and its Applications (IC3INA)
作者: Laxmi, Gibtha Fitri Herdiyeni, Yeni Arkeman, Yandra Ibn Khaldun Univ KH Sholeh Iskandar St Km2 Bogor Indonesia Bogor Agr Univ Bogor Indonesia
This research proposes multi-objective genetic algorithm non-dominated-sorting (MOGA NSGA-II) of fuzzy local binary pattern to optimize LBP operator and fuzzy threshold for identification of Indonesian medicinal plant... 详细信息
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Hydraulic Optimization of a Double-channel Pump's Impeller Based on multi-objective genetic algorithm
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Chinese Journal of Mechanical Engineering 2015年 第3期28卷 634-640页
作者: ZHAO Binjuan WANG Yu CHEN Huilong QIU Jing HOU Duohua School of Energy and Power Engineering Jiangsu University Shanghai Kaiquan Pump (Goup) Co. Ltd
Computational fluid dynamics(CFD) can give a lot of potentially very useful information for hydraulic optimization design of pumps, however, it cannot directly state what kind of modification should be made to impro... 详细信息
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Applications of network analysis and multi-objective genetic algorithm for selecting optimal water quality sensor locations in water distribution networks
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KSCE JOURNAL OF CIVIL ENGINEERING 2015年 第7期19卷 2333-2344页
作者: Yoo, Do Guen Chung, Gunhui Sadollah, Ali Kim, Joong Hoon Korea Univ Sch Civil Environm & Architectural Engn Seoul 136713 South Korea Hoseo Univ Dept Civil Engn Asan 336795 South Korea
In this study, optimal water quality sensor placement is performed based on the sensitivity of flow direction under different water demands for detecting accidental water quality contamination. First, Betweenness Cent... 详细信息
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A multi-objective genetic algorithm for determining efficient Risk-Based Inspection programs
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RELIABILITY ENGINEERING & SYSTEM SAFETY 2015年 133卷 253-265页
作者: Moura, Marcio das Chagas Lins, Isis Didier Droguett, Enrique Lopez Soares, Rodrigo Ferreira Pascual, Rodrigo Univ Fed Pernambuco CEERMA Ctr Risk Anal Reliabil & Environm Modeling Recife PE Brazil Univ Maryland Dept Mech Engn Ctr Risk & Reliabil College Pk MD 20742 USA Petrobras SA Rio De Janeiro Brazil Pontificia Univ Catolica Chile Dept Min Engn Phys Asset Management Lab Santiago Chile
This paper proposes a coupling between Risk-Based Inspection (RBI) methodology and multi-objective genetic algorithm (MOGA) for defining efficient inspection programs in terms of inspection costs and risk level, which... 详细信息
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Optimal placement of piezoelectric actuators and sensors on a smart beam and a smart plate using multi-objective genetic algorithm
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SMART STRUCTURES AND SYSTEMS 2015年 第4期15卷 1041-1062页
作者: Nestorovic, Tamara Trajkov, Miroslav Garmabi, Seyedmehdi Ruhr Univ Bochum Mech Adapt Syst D-44801 Bochum Germany
In this paper a method of fmding optimal positions for piezoelectric actuators and sensors on different structures is presented. The genetic algorithm and multi-objective genetic algorithm are selected for optimizatio... 详细信息
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Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design
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ENERGY AND BUILDINGS 2015年 第Feb.期88卷 135-143页
作者: Yu, Wei Li, Baizhan Jia, Hongyuan Zhang, Ming Wang, Di Chongqing Univ Fac Urban Construct & Environm Engn Chongqing 400045 Peoples R China Chongqing Univ Minist Educ Key Lab Three Gorges Reservoir Reg Ecoenvironm Chongqing 400045 Peoples R China Chongqing Univ Natl Ctr Int Res Low Carbon & Green Bldg Chongqing 400045 Peoples R China State Key Lab Bldg Safety & Built Environm Beijing 100015 Peoples R China
Several conflicting criteria exist in building design optimization, especially energy consumption and indoor environment thermal performance. This paper presents a novel multi-objective optimization model that can ass... 详细信息
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A hybrid multi-objective genetic algorithm based on the ELECTRE method for a capacitated flexible job shop scheduling problem
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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2015年 第1-4期77卷 51-66页
作者: Rohaninejad, Mohamad Kheirkhah, Amirsaman Fattahi, Parviz Vahedi-Nouri, Behdin Bu Ali Sina Univ Dept Ind Engn Hamadan Iran
In this paper, a multi-objective flexible job shop scheduling problem with machines capacity constraints is studied. Minimizing the makespan and overtime costs of machines are considered as two objectives for evaluati... 详细信息
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