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检索条件"主题词=evolutionary algorithms"
12015 条 记 录,以下是1301-1310 订阅
排序:
Modernizing quantum annealing II: genetic algorithms with the inference primitive formalism
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NATURAL COMPUTING 2023年 第4期22卷 737-752页
作者: Chancellor, Nicholas Univ Durham Joint Quantum Ctr Dept Phys South Rd Durham England
Quantum annealing, a method of computing where optimization and machine learning problems are mapped to physically implemented energy landscapes subject to quantum fluctuations, allows for these fluctuations to be use... 详细信息
来源: 评论
Across-task neural architecture search via meta learning
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INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 2023年 第3期14卷 1003-1019页
作者: Rong, Jingtao Yu, Xinyi Zhang, Mingyang Ou, Linlin Zhejiang Univ Technol Dept Informat Engn Hangzhou 310023 Peoples R China
Adequate labeled data and expensive compute resources are the prerequisites for the success of neural architecture search (NAS). It is challenging to apply NAS in meta-learning scenarios with limited compute resources... 详细信息
来源: 评论
A computationally efficient heuristic approach for solving a new sophisticated arrangement of cogeneration combined heat and power cycle
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ENERGY REPORTS 2023年 9卷 42-50页
作者: Mohtaram, Soheil Wu, Weidong Univ Shanghai Sci & Technol Sch Energy & Power Engn Shanghai 200093 Peoples R China
Cogeneration combined heat and power cycle components are continually optimized using new methods and solutions. Due to the interconnection of two different power generation cycles, the design of the cogeneration cycl... 详细信息
来源: 评论
Self-adaptive teaching-learning-based optimizer with improved RBF and sparse autoencoder for high-dimensional problems ?
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INFORMATION SCIENCES 2023年 630卷 463-481页
作者: Bi, Jing Wang, Ziqi Yuan, Haitao Zhang, Jia Zhou, MengChu Beijing Univ Technol Sch Software Engn Fac Informat Technol Beijing 100124 Peoples R China Beihang Univ Sch Automat Sci & Elect Engn Beijing 100191 Peoples R China Southern Methodist Univ Dept Comp Sci Lyle Sch Engn Dallas TX 75205 USA New Jersey Inst Technol Dept Elect & Comp Engn Newark NJ 07102 USA
evolutionary algorithms and swarm intelligence ones are commonly used to solve many complex optimization problems in different fields. Yet, some of them have limited performance when dealing with high-dimensional comp... 详细信息
来源: 评论
Effects of Including Optimal Solutions into Initial Population on evolutionary Multiobjective Optimization  23
Effects of Including Optimal Solutions into Initial Populati...
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2023 Genetic and evolutionary Computation Conference, GECCO 2023
作者: Gong, Cheng Nan, Yang Pang, Lie Meng Zhang, Qingfu Ishibuchi, Hisao Department of Computer Science City University of Hong Kong Kowloon Tong Hong Kong Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China
A long-standing question in the evolutionary multi-objective (EMO) community is how to generate a good initial population for EMO algorithms. Intuitively, as the starting point of optimization, a good initial populati... 详细信息
来源: 评论
Prescribing Cartesian Stiffness of Soft Robots by Co-Optimization of Shape and Segment-Level Stiffness
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SOFT ROBOTICS 2023年 第4期10卷 701-712页
作者: Stella, Francesco Hughes, Josie Rus, Daniela Della Santina, Cosimo Delft Univ Technol Dept Cognit Robot Delft Netherlands Ecole Polytech Fed Lausanne CREATE Lab STI Lausanne Switzerland MIT Comp Sci & Artificial Intelligence Lab Boston MA USA German Aerosp Ctr DLR Inst Robot & Mechatron Wessling Germany Delft Univ Technol Dept Cognit Robot Mekelweg 2 NL-2628 CD Delft Netherlands
Soft robots aim to revolutionize how robotic systems interact with the environment thanks to their inherent compliance. Some of these systems are even able to modulate their physical softness. However, simply equippin... 详细信息
来源: 评论
Modeling the Telemarketing Process Using Genetic algorithms and Extreme Boosting: Feature Selection and Cost-Sensitive Analytical Approach
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IEEE ACCESS 2023年 11卷 67806-67824页
作者: Ghatasheh, Nazeeh Altaharwa, Ismail Aldebei, Khaled Univ Jordan Dept Informat Technol Aqaba 77110 Jordan Univ Jordan Dept Comp Informat Syst Aqaba 77110 Jordan
Currently, almost all direct marketing activities take place virtually rather than in person, weakening interpersonal skills at an alarming pace. Furthermore, businesses have been striving to sense and foster the tend... 详细信息
来源: 评论
Umbrellalike Hierarchical Artificial Bee Colony Algorithm
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IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 2023年 第3期E106D卷 410-418页
作者: Zheng, Tao Zhang, Han Zhang, Baohang Cai, Zonghui Wang, Kaiyu Todo, Yuki Gao, Shangce Univ Toyama Fac Engn Toyama 9308555 Japan Kanazawa Univ Fac Elect Informat & Commun Engn Kanazawa 9201192 Japan
Many optimisation algorithms improve the algorithm from the perspective of population structure. However, most improve-ment methods simply add hierarchical structure to the original population structure, which fails t... 详细信息
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On Fitness Landscape Analysis of Permutation Problems: From Distance Metrics to Mutation Operator Selection
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MOBILE NETWORKS & APPLICATIONS 2023年 第2期28卷 507-517页
作者: Cicirello, Vincent A. Stockton Univ Comp Sci 101 Vera King Farris Dr Galloway NJ 08205 USA
In this paper, we explore the theory and expand upon the practice of fitness landscape analysis for optimization problems over the space of permutations. Many of the computational and analytical tools for fitness land... 详细信息
来源: 评论
Automated multi-objective system identification using grammar-based genetic programming
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AUTOMATICA 2023年 第1期154卷
作者: Khandelwal, Dhruv Schoukens, Maarten Toth, Roland Eindhoven Univ Technol Dept Elect Engn Eindhoven Netherlands VDL ETG Technol & Dev Eindhoven Netherlands Inst Comp Sci & Control Syst & Control Lab Budapest Hungary
In order to use existing identification tools effectively, a user must make critical choices a priori that ultimately determine the quality of estimated models. Furthermore, while estimated models are typically optimi... 详细信息
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