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检索条件"主题词=multi-objective evolutionary algorithm"
545 条 记 录,以下是431-440 订阅
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Simulation and multicriteria optimization modeling approach for regional water restoration management
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ANNALS OF OPERATIONS RESEARCH 2014年 第1期219卷 123-140页
作者: Udias, Angel Efremov, Roman Galbiati, Lorenzo Canamon, Israel Univ Rey Juan Carlos Dept Estadist & Invest Operat Madrid Spain Agencia Catalana Aigua Barcelona Spain Univ Politecn Madrid Dept Matemat Aplicada & Metodos Informat Madrid Spain
This paper presents a modeling framework that intends to select the optimal robust wastewater reclamation program of measures (PoM) to achieve the European Water Framework Directive (WFD) objectives in the inner Catal... 详细信息
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Robust optimization of nonlinear impulsive rendezvous with uncertainty
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Science China(Physics,Mechanics & Astronomy) 2014年 第4期57卷 731-740页
作者: LUO YaZhong YANG Zhen LI HengNian College of Aerospace Science and Engineering National University of Defense Technology State Key Laboratory of Astronautic Dynamics
The optimal rendezvous trajectory designs in many current research efforts do not incorporate the practical uncertainties into the closed loop of the design.A robust optimization design method for a nonlinear rendezvo... 详细信息
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Optimal Testing Resource Allocation for Modular Software Systems based-on multi-objective evolutionary algorithms with Effective Local Search Strategy
Optimal Testing Resource Allocation for Modular Software Sys...
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IEEE 2nd Workshop on Memetic Computing (MC)
作者: Yu Shuaishuai Fei Dong Bin Li USTC Dep Elect Sci & Technol Hefei Peoples R China
Software testing is a very important part in software projects. As a key issue in software testing, Optimal Testing Resource Allocation Problems (OTRAPs) have drawn more and more attention recently. Along with the rap... 详细信息
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Computational Complexity Measures for Many-objective Optimization Problems
Computational Complexity Measures for Many-objective Optimiz...
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Conference on Conquering Complexity - Challenges and Opportunities
作者: Curry, David M. Dagli, Cihan H. Missouri Univ Sci & Technol Dept Engn Management & Syst Engn Rolla MO 65409 USA
multi-objective Optimization Problems (MOPs) are commonly encountered in the study and design of complex systems. Pareto dominance is the most common relationship used to compare solutions in MOPs, however as the numb... 详细信息
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DMOPSO: Dual multi-objective Particle Swarm Optimization
DMOPSO: Dual Multi-Objective Particle Swarm Optimization
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IEEE Congress on evolutionary Computation (CEC)
作者: Lee, Ki-Baek Kim, Jong-Hwan Korea Adv Inst Sci & Technol Dept Elect Engn Daejeon 305701 South Korea
Since multi-objective optimization algorithms (MOEAs) have to find exponentially increasing number of nondominated solutions with the increasing number of objectives, it is necessary to discriminate more meaningful on... 详细信息
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Facial recognition using composite correlation filters designed with multiobjective combinatorial optimization  37
Facial recognition using composite correlation filters desig...
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Conference on Applications of Digital Image Processing XXXVII
作者: Cuevas, Andres Diaz-Ramirez, Victor H. Kober, Vitaly Trujillo, Leonardo Inst Politecn Nacl CITEDI Ave Parque 1310 Tijuana 22510 BC Mexico Chelyabinsk State Univ Dept Math Moscow 22860 Russia Inst Tecnol Tijuana Tijuana 22414 Mexico Inst Politecn Nacl CITEDI Tijuana 22510 Mexico
Facial recognition is a difficult task due to variations in pose and facial expressions, as well as presence of noise and clutter in captured face images. In this work, we address facial recognition by means of compos... 详细信息
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Proposing an Efficient Combination of Interesting Measures for Mining Association Rules via NSGA-II
Proposing an Efficient Combination of Interesting Measures f...
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International Congress on Technology, Communication and Knowledge (ICTCK)
作者: Rokh, Babak Mirvaziri, Hamid Eftekhari, Mahdi Shahid Bahonar Univ Kerman Dept Comp Engn Kerman Iran
Selecting accurate and simple association rules that efficiently cover all data samples is very important in knowledge discovery. There are several measures to assess accuracy and relations in a rule. This poses a cha... 详细信息
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Combining Crowding Estimation in objective and Decision Space With multiple Selection and Search Strategies for multi-objective evolutionary Optimization
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IEEE TRANSACTIONS ON CYBERNETICS 2014年 第3期44卷 378-393页
作者: Xia, Hu Zhuang, Jian Yu, Dehong Xi An Jiao Tong Univ Sch Mech Engn Xian 710049 Peoples R China
Many multi-objective evolutionary algorithms (MOEAs) have been successful in approximating the Pareto Front. However, well-distributed solutions in the objective and decision spaces are still required in many real-lif... 详细信息
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Study on multi-objective Optimization of Oil Production Process  11
Study on Multi-objective Optimization of Oil Production Proc...
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11th World Congress on Intelligent Control and Automation
作者: Liu, Tan Gao, Xianwen Wang, Lina Northeastern Univ Sch Informat Sci & Engn Shenyang 110819 Peoples R China
By analyzing the mechanism of oil production process and the relationship between each subsystem, a multi-objective optimization model is proposed, which is with maximizing overall oil production, minimizing overall w... 详细信息
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A Novel Hybrid multi-objective Optimization Framework: Rotating the objective Space
A Novel Hybrid Multi-objective Optimization Framework: Rotat...
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10th International Conference on Simulated Evolution and Learning (SEAL)
作者: Qiu, Xin Huang, Ye Xu, Jian-Xin Tan, Kay Chen Natl Univ Singapore NUS Grad Sch Integrat Sci & Engn Singapore 117456 Singapore Natl Univ Singapore Dept Elect & Comp Engn Singapore 117576 Singapore
multi-objective evolutionary algorithms (MOEAs) are popular approaches for solving multi-objective problems (MOPs). One representative method is Non-dominated Sorting Genetic algorithm II (NSGA-II), which has achieved... 详细信息
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