Výsledky vyhledávání - "Pareto multi-objective genetic algorithm"
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Multi-Parameter Synchronous Identification Method for Dual Metal Rubber Clamps Considering Directional Differences in Mechanical Properties
ISSN: 2076-3417, 2076-3417Vydáno: Basel MDPI AG 01.10.2025Vydáno v Applied sciences (01.10.2025)“…Due to structural characteristics and connection dimensions, the dynamic characteristics of dual metal rubber clamps (DMRCs) show significant differences in…”
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Genetic Algorithms for Forest Harvest Adjustment
ISBN: 9780769536767, 076953676XVydáno: IEEE 01.06.2009Vydáno v 2009 ETP International Conference on Future Computer and Communication (01.06.2009)“… In this study, empirical study method was combined with the multi-objective optimization to develop a multi-objective forest harvest adjustment model by introducing Pareto multi-objective genetic…”
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Feature Selection via Pareto Multi-objective Genetic Algorithms
ISSN: 0883-9514, 1087-6545Vydáno: Philadelphia Taylor & Francis 26.11.2017Vydáno v Applied artificial intelligence (26.11.2017)“…Feature selection, an important combinatorial optimization problem in data mining, aims to find a reduced subset of features of high quality in a dataset…”
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Optimized design of droplet micro-mixer with sinusoidal structure based on Pareto genetic algorithm
ISSN: 0735-1933Vydáno: Elsevier Ltd 01.06.2022Vydáno v International communications in heat and mass transfer (01.06.2022)“…-objective genetic algorithm to provide important reference values for the design of efficient and integrated microfluidic chips…”
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MapReduce framework based gridlet allocation technique in computational grid
ISSN: 0045-7906, 1879-0755Vydáno: Amsterdam Elsevier Ltd 01.06.2021Vydáno v Computers & electrical engineering (01.06.2021)“…A Computational Grid (CG) consists of networks that are linked to implementing grid computing. Here, a huge computational task is shared amongst the individual…”
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Optimization of intermittent oil recovery mechanism based on multi-objective genetic algorithm
ISSN: 1948-9447Vydáno: IEEE 20.05.2023Vydáno v Chinese Control and Decision Conference (20.05.2023)“… The Pareto multi-objective genetic algorithm is used to optimize the optimal downtime of the pumping units from the perspective of energy saving in the oil recovery system, to maximize the efficiency…”
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Thin‐wire antenna design for GPR applications using a multi‐objective GA
ISSN: 1569-4445, 1873-0604Vydáno: 01.02.2007Vydáno v Near surface geophysics (Online) (01.02.2007)“…ABSTRACT A Pareto multi‐objective genetic algorithm (MOGA) has been applied to the design of non‐dispersive, ultra‐wideband (UWB…”
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Structure Optimization of Switched Reluctance Motor for Torque Ripple Suppression
ISSN: 2642-5513Vydáno: IEEE 01.08.2019Vydáno v International Conference on Electrical Machines and Systems (Online) (01.08.2019)“… Finally, the novel structure is optimized by using the quadratic polynomial regression (PR) models combined with the Pareto multi-objective genetic algorithm…”
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基于改进NSGA-Ⅱ算法的间歇采油制度优化
ISSN: 1001-4578Vydáno: 东北石油大学机械科学与工程学院 2024Vydáno v 石油机械 (2024)“…TE355; 对于低渗透率油井,采用间歇采油制度能有效避免空抽磨损,并减少电能消耗量.为此通过分析沉没度和地层流压随抽油机井生产时间变化的规律,从系统节能的角度出发,建立…”
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Transmission network planning with N-1 security criterion based on improved multi-objective genetic algorithm
ISBN: 9781457703645, 1457703645Vydáno: IEEE 01.07.2011Vydáno v 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (01.07.2011)“… In this paper, application of Pareto multi-objective genetic algorithm, which has rised…”
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A soft-computing based system level design space exploration methodology for system -on -chip designs
ISBN: 9781109526486, 1109526482Vydáno: ProQuest Dissertations & Theses 01.01.2009“… The IMODE methodology uses two soft-computing technologies – a Pareto multi-objective genetic algorithm and a fuzzy logic system at their respective advantages…”
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Dissertation -
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Multi-objective fuzzy modeling using NSGA-II
ISBN: 1424416736, 9781424416738ISSN: 2326-8123Vydáno: IEEE 01.09.2008Vydáno v 2008 IEEE Conference on Cybernetics and Intelligent Systems (01.09.2008)“… to reduce computational burden. Second, a Pareto multi-objective genetic algorithm based on NSGA-II and the interpretability-driven simplification techniques are used to evolve the initial fuzzy system iteratively with three objectives…”
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