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检索条件"主题词=Multi-Objective Evolutionary Algorithms"
321 条 记 录,以下是141-150 订阅
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multi-objective Optimization for Automated Business Process Discovery  11
Multi-Objective Optimization for Automated Business Process ...
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11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K) / 11th International Conference on Knowledge Discovery and Information Retrieval (KDIR)
作者: Ghazal, Mohamed A. Ghoniemy, Samy Salama, Mostafa A. British Univ Egypt Dept Comp Sci Cairo Egypt
Process Mining is a research field that aims to develop new techniques to discover, monitor and improve real processes by extracting knowledge from event logs. This relatively young research discipline has evidenced e... 详细信息
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multi-objective evolutionary simulation based optimization mechanism for a novel stochastic reliability centered maintenance problem
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SWARM AND evolutionary COMPUTATION 2018年 40卷 255-271页
作者: Rahmati, Seyed Habib A. Ahmadi, Abbas Karimi, Behrooz Amirkabir Univ Technol Dept Ind Engn & Management Syst Tehran Iran Islamic Azad Univ Fac Ind & Mech Engn Dept Ind Engn Qazvin Branch Qazvin Iran
This research develops a novel stochastic reliability-centered maintenance (RCM) mechanism within a new multi objective joint maintenance and production planning problem. RCM in this integrated problem is an agent tha... 详细信息
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Distributed NSGA-II Sharing Extreme Non-dominated Solutions for Improving Accuracy and Achieving Speed-up
Distributed NSGA-II Sharing Extreme Non-dominated Solutions ...
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IEEE Congress on evolutionary Computation (IEEE CEC)
作者: Sato, Yuji Sato, Mikiko Miyakawa, Minami Hosei Univ Fac Comp & Informat Sci Tokyo Japan Tokai Univ Sch Informat & Telecommun Engn Tokyo Japan Sinshu Univ Fac Engn Dept Elect & Comp Engn Nagano Japan
A recent trend of multi-objective evolutionary algorithms is to approximate the Pareto optimal front with high accuracy by increasing the size of the population. On the other hand, the cconventional method NSGA-II alg... 详细信息
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Convex hull ranking algorithm for multi-objective evolutionary algorithms
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SCIENTIA IRANICA 2011年 第6期18卷 1435-1442页
作者: Monfared, M. Davoodi Mohades, A. Rezaei, J. Amirkabir Univ Technol Dept Math & Comp Sci Lab Algorithms & Computat Geometry Tehran Iran Delft Univ Technol Fac Technol Policy & Management Dept Technol Strategy & Entrepreneurship NL-2600 AA Delft Netherlands Amirkabir Univ Technol Dept Math & Comp Sci Comp Sci Grp Tehran Iran
Due to many applications of multi-objective evolutionary algorithms in real world optimization problems, several studies have been done to improve these algorithms in recent years. Since most multi-objective evolution... 详细信息
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A multi-objective evolutionary Action Rule Mining Method
A Multi-Objective Evolutionary Action Rule Mining Method
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IEEE Congress on evolutionary Computation (IEEE CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI)
作者: Daly, Grant Benton, Ryan Johnsten, Tom Univ S Alabama Dept Comp Sci Sch Comp Mobile AL 36688 USA
Action rules are rules that describe how to transition a decision attribute from an undesired state to a desired state, with the understanding that some attributes are stable and others are flexible. Stable attributes... 详细信息
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On the Many-objective Pickup and Delivery Problem: Analysis of the Performance of Three evolutionary algorithms  16th
On the Many-Objective Pickup and Delivery Problem: Analysis ...
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16th Mexican International Conference on Artificial Intelligence (MICAI)
作者: Garcia-Najera, Abel Lopez-Jaimes, Antonio Zapotecas-Martinez, Saul Univ Autonoma Metropolitana Dept Matemat Aplicadas & Sistemas Unidad Cuajimalpa Av Vasco de Quiroga 4871 Ciudad De Mexico 05300 Mexico
Many-objective optimization focuses on solving optimization problems with four or more objectives. Effort has been made mainly on studying continuous problems, with interesting results and for which several optimizers... 详细信息
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multi-objective evolutionary Neural Network to Predict Graduation Success at the United States Military Academy
Multi-objective Evolutionary Neural Network to Predict Gradu...
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Complex Adaptive Systems Conference (CAS) - Cyber Physical Systems and Deep Learning
作者: Lesinski, Gene Corns, Steven US Mil Acad West Point NY 10996 USA Missouri Univ Sci & Technol Rolla MO 65409 USA
This paper presents an evolutionary neural network approach to classify student graduation status based upon selected academic, demographic, and other indicators. A pareto-based, multi-objective evolutionary algorithm... 详细信息
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A New Algorithm Using the Non-Dominated Tree to Improve Non-Dominated Sorting
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evolutionary COMPUTATION 2018年 第1期26卷 89-116页
作者: Gustavsson, Patrik Syberfeldt, Anna Univ Skovde Sch Engn S-54134 Skovde Sweden
Non-dominated sorting is a technique often used in evolutionary algorithms to determine the quality of solutions in a population. The most common algorithm is the Fast Non-dominated Sort (FNS). This algorithm, however... 详细信息
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An investigation into many-objective optimization on combinatorial problems: Analyzing the pickup and delivery problem
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SWARM AND evolutionary COMPUTATION 2018年 38卷 218-230页
作者: Garcia-Najera, Abel Lopez-Jaimes, Antonio Univ Autanoma Metropolitana Dept Matemat Aplicadas & Sistemas Unidad Cuajimalpa Av Vasco de Quiroga 4871Col Santa Fe Cuajimalpa Mexico City 05348 DF Mexico
Many-objective optimization focuses on solving optimization problems with four or more objectives. Effort has been made mainly on studying continuous problems, with interesting results and for which several proposals ... 详细信息
来源: 评论
multi-objective SCHEDULING PROBLEM FOR HYBRID MANUFACTURING SYSTEMS WITH WALKING WORKERS
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INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE 2019年 第5期26卷 625-650页
作者: Yilmaz, Omer Faruk Durmusoglu, Mehmet Bulent Karadeniz Tech Univ Dept Ind Engn Trabzon Turkey Istanbul Tech Univ Dept Ind Engn Istanbul Turkey
Hybrid manufacturing systems (HMSs) are attracting attention from academia and industry owing to concerns regarding fluctuations in customers' demands. An HMS combines traditional manufacturing cells and a functio... 详细信息
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