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检索条件"主题词=Multi-Objective Genetic algorithm"
724 条 记 录,以下是101-110 订阅
排序:
Automated extraction of extended structured motifs using multi-objective genetic algorithm
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EXPERT SYSTEMS WITH APPLICATIONS 2010年 第3期37卷 2421-2426页
作者: Kaya, Mehmet Firat Univ Dept Comp Engn TR-23169 Elazig Turkey
A structured motif is defined as a collection of highly conserved simple motifs with pre-specified sizes and gaps between them. In structured motif extraction, while all simple motifs are unknown, all gap ranges are k... 详细信息
来源: 评论
A multi-objective genetic algorithm approach to rule mining for affective product design
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EXPERT SYSTEMS WITH APPLICATIONS 2012年 第8期39卷 7411-7419页
作者: Fung, K. Y. Kwong, C. K. Siu, K. W. M. Yu, K. M. Hong Kong Polytech Univ Dept Ind & Syst Engn Kowloon Hong Kong Peoples R China Hong Kong Polytech Univ Sch Design Kowloon Hong Kong Peoples R China
A novel multi-objective genetic algorithm (GA)-based rule-mining method for affective product design is proposed to discover a set of rules relating design attributes with customer evaluation based on survey data. The... 详细信息
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Optimization of an aluminum alloy anti-collision side beam hot stamping process using a multi-objective genetic algorithm
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ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING 2013年 第3期13卷 401-411页
作者: Zhou, Jing Wang, Baoyu Lin, Jianguo Fu, Lei Univ Sci & Technol Beijing Sch Mech Engn Beijing 100083 Peoples R China Univ London Imperial Coll Sci Technol & Med Dept Mech Engn London SW7 2AZ England
The process parameters of aluminum alloy hot stamping are essential for product forming quality. In the case of an anti-collision side beam inside car doors, the finite-element model of aluminum alloy hot stamping is ... 详细信息
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Hydraulic performance and parameter optimisation of a microporous ceramic emitter using computational fluid dynamics, artificial neural network and multi-objective genetic algorithm
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BIOSYSTEMS ENGINEERING 2020年 189卷 11-23页
作者: Zhou, Wei Zhang, Lin Wu, Pute Cai, Yaohui Zhao, Xiao Yao, Chunping Northwest A&F Univ Key Lab Agr Soil & Water Engn Arid & Semiarid Are Minist Educ Yangling 712100 Shaanxi Peoples R China Northwest A&F Univ Inst Soil & Water Conservat Yangling 712100 Shaanxi Peoples R China Northwest A&F Univ Inst Water Saving Agr Arid Areas China Yangling 712100 Shaanxi Peoples R China
As the core of an irrigation system, microporous ceramic emitters (MPCEs) are closely related to the design, operation, and management of underground irrigation systems. In this study, computational fluid dynamics (CF... 详细信息
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Stochastic quality-cost optimization system hybridizing multi-objective genetic algorithm and quality function deployment
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JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 2015年 第4期21卷 407-422页
作者: Lim, Tae-Kyung Jang, Won-Suk Choi, Jae-ho Lee, Dong-Eun Kyungpook Natl Univ Sch Architecture & Civil Engn Taegu 702701 South Korea Yeungnam Univ Dept Civil Engn Gyeongsa Si 712749 Gyeongsangbuk D South Korea Dong A Univ Dept Civil Engn Pusan 604714 South Korea Kyungpook Natl Univ Sch Architecture & Civil Engn Taegu 702701 South Korea
This paper introduces an automated tool, the stochastic quality-cost optimization (SQCO) system, that hybridizes multi-objective genetic algorithm (MOGA) and Quality Function Deployment (QFD). The system identifies th... 详细信息
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Optimal answer generation by equivalent transformation incorporating multi-objective genetic algorithm
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SOFT COMPUTING 2022年 第19期26卷 10535-10546页
作者: Miura, Katsunori Powell, Courtney Munetomo, Masaharu Otaru Univ Dept Informat & Management Sci 3-5-21 Midori Otaru Hokkaido 0478501 Japan Hokkaido Univ Informat Initiat Ctr Kita Ku Kita 11Nishi 5 Sapporo Hokkaido 0600811 Japan
This paper proposes a framework for time-efficiently finding multiple answers that meet multiple logical constraints and are Pareto-optimal for multiple objective functions. The proposed framework determines a set of ... 详细信息
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Hybrid gene selection approach using XGBoost and multi-objective genetic algorithm for cancer classification
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MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 2022年 第3期60卷 663-681页
作者: Deng, Xiongshi Li, Min Deng, Shaobo Wang, Lei Sch Informat Engn Nanchang Inst Technol Nanchang 330099 Jiangxi Peoples R China Jiangxi Prov Key Lab Water Informat Cooperat Sens Nanchang 330099 Jiangxi Peoples R China
Microarray gene expression data are often accompanied by a large number of genes and a small number of samples. However, only a few of these genes are relevant to cancer, resulting in significant gene selection challe... 详细信息
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Energy audit and management of environmental GHG emissions based on multi-objective genetic algorithm and data envelopment analysis: An agriculture case
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ENERGY REPORTS 2023年 10卷 1507-1520页
作者: Taherzadeh-Shalmaei, Nahid Rafiee, Mahta Kaab, Ali Khanali, Majid Rad, Mohammad Amin Vaziri Kasaeian, Alibakhsh Univ Tehran Coll Agr Dept Agr Machinery Engn Karaj Iran Univ Tehran Fac New Sci & Technol Dept Renewable Energies & Environm Tehran Iran
This study aimed to address the challenges of energy consumption and environmental emissions in the mushroom production sector through an energy audit analysis and life cycle assessment approach. The main objective of... 详细信息
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A multi-objective genetic algorithm for fuzzy flexible job-shop scheduling problem
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INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY 2012年 第2-3期45卷 115-125页
作者: Wang, Xiaojuan Gao, Liang Zhang, Chaoyong Li, Xinyu Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Hubei Peoples R China
In many real-world applications, processing times may vary dynamically due to human factors or operating faults and there are some other uncertain factors in the scheduling problems. Flexible job-shop scheduling probl... 详细信息
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multi-objective optimisation for minimum quantity lubrication assisted milling process based on hybrid response surface methodology and multi-objective genetic algorithm
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ADVANCES IN MECHANICAL ENGINEERING 2019年 第4期11卷
作者: Mumtaz, Jabir Li, Zhang Imran, Muhammad Yue, Lei Jahanzaib, Mirza Sarfraz, Shoaib Shehab, Essam Ismail, Sikiru Oluwarotimi Afzal, Kaynat Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Digital Mfg Equipment & Technol Wuhan 430074 Hubei Peoples R China Natl Univ Sci & Technol NUST Business Sch Dept Management & HR Islamabad Pakistan Univ Engn & Technol Dept Ind Engn Taxila Pakistan Cranfield Univ Mfg Dept Sch Aerosp Transport & Mfg Cranfield Beds England Univ Hertfordshire Sch Engn & Comp Sci Hatfield Herts England
Parametric modelling and optimisation play an important role in choosing the best or optimal cutting conditions and parameters during machining to achieve the desirable results. However, analysis of optimisation of mi... 详细信息
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