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检索条件"主题词=Optimization Algorithms"
4005 条 记 录,以下是821-830 订阅
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Many-Objective Evolutionary optimization Algorithm based on the Conflict Measurement Grouping Strategy  4
Many-Objective Evolutionary Optimization Algorithm based on ...
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4th International Conference on Artificial Intelligence, Robotics, and Communication, ICAIRC 2024
作者: Zhang, Jianzhong Shi, Xuhua Ningbo University Faculty of Electrical Engineering and Computer Science Ningbo China
In order to address the convergence issues faced by traditional multi-objective optimization algorithms as the number of objectives increases, this paper proposes a new optimization algorithm, MaOEA-SPC, based on the ... 详细信息
来源: 评论
Distance-Based Subset Selection With a Knee Point for Multi-Objective optimization  13
Distance-Based Subset Selection With a Knee Point for Multi-...
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Joint 13th International Conference on Soft Computing and Intelligent Systems and 25th International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2024
作者: Pang, Lie Meng Ishibuchi, Hisao Southern University of Science and Technology Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Shenzhen518055 China
Recently, the use of an unbounded external archive in the design of evolutionary multi-objective optimization (EMO) algorithms has received increasing attention. An important component in the use of an unbounded exter... 详细信息
来源: 评论
Random Exploration in Bayesian optimization: Order-Optimal Regret and Computational Efficiency  41
Random Exploration in Bayesian Optimization: Order-Optimal R...
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41st International Conference on Machine Learning, ICML 2024
作者: Salgia, Sudeep Vakili, Sattar Zhao, Qing Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA United States MediaTek Research Cambridge United Kingdom Department of Electrical and Computer Engineering Cornell University IthacaNY United States
We consider Bayesian optimization using Gaussian Process models, also referred to as kernel-based bandit optimization. We study the methodology of exploring the domain using random samples drawn from a distribution. W... 详细信息
来源: 评论
Design of nearly linear phase IIR fractional order digital differentiators using Iterative Convex optimization algorithm
Design of nearly linear phase IIR fractional order digital d...
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2024 China Automation Congress, CAC 2024
作者: Chen, Juan Wei, Xuewen Meng, Hailong School of Mathematics and Statistics Qilu University of Technology Shandong Academy of Sciences Jinan China
This paper introduces a methodology for the design of IIR fractional-order digital differentiators with near-linear phase properties. The primary objective is to minimize the maximum phase deviation from the ideal lin... 详细信息
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Similar Locality Based Transfer Evolutionary optimization for Minimalistic Attacks  13
Similar Locality Based Transfer Evolutionary Optimization fo...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Ma, Wenqiang Hau, Yaqing Yu, Hua Tong, Xiangrong Zhu, Zexuan Zhang, Qiang School of Computer Science and Technology Dalian University of Technology Dalian116024 China School of Computer and Control Engineering Yantai University Yantai264005 China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China
Deep neural networks are powerful and popular learning models;however, recent studies have shown that deep neural network-based policies are susceptible to deception by adversarial attacks. A minimalistic attack is a ... 详细信息
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Distribution Network Reconfiguration Based on Improved Particle Swarm optimization Algorithm  3
Distribution Network Reconfiguration Based on Improved Parti...
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3rd International Conference on Energy, Power and Electrical Technology, ICEPET 2024
作者: Li, Tengshuo Ge, Jie Zhu, Ruijin Tibet Agricultural and Animal Husbandry University Bayi Tibet Nyingchi China State Grid Tibet Power Company Ultra High Voltage Branch Tibet Nyingchi China
In response to the challenges posed by the significant integration of distributed energy resources on distribution network reconfiguration, an improved particle swarm optimization algorithm is proposed in this paper. ... 详细信息
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IMPLEMENTATION OF NETWORK optimization AND RESILIENCY ANALYSIS TOWARDS MISSION ASSURANCE
IMPLEMENTATION OF NETWORK OPTIMIZATION AND RESILIENCY ANALYS...
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ASME 2024 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2024
作者: Scott, Daniel J. Jensen, David C. University of Arkansas FayettevilleAR United States
Network optimization and resiliency analysis are pivotal domains revealing network functionality, strength, and resilience. Despite their promise, these methodologies often encounter integration limitations, scalabili... 详细信息
来源: 评论
Research on optimization of Byzantine Fault-Tolerant Consensus Algorithm Based on Involvement  3
Research on Optimization of Byzantine Fault-Tolerant Consens...
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3rd International Conference on Cloud Computing, Big Data Application and Software Engineering, CBASE 2024
作者: Zhang, Han Wang, Baocheng Guo, Hao The Northern Industrial University College of Information Shijingshan District Beijing China School of Information Science North China University of Technology Shijingshan District Beijing China
The league chain is widely used in practical Byzantine fault tolerance consensus algorithm as the low throughput, delay higher problem. In order to solve the above problems, this paper proposes an optimization researc... 详细信息
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Enhancing Intrusion Detection Systems: A Comparative Study using Whale optimization Algorithm and Hawks optimization Algorithm  11
Enhancing Intrusion Detection Systems: A Comparative Study u...
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11th International Conference on Electrical and Electronics Engineering, ICEEE 2024
作者: Abualhaj, Mosleh M. Al-Khatib, Sumaya N. Al-Allawee, Ali Munther, Alhamza Anbar, Mohammed Al-Ahliyya Amman University Department of Networks and Cybersecurity Amman Jordan Irimas University of Haute Alsace Colmar France University Technology and Applied Sciences It Department Sur Oman Universiti Sains Malaysia Penang Malaysia
Intrusion Detection Systems (IDS) play a pivotal role in safeguarding computer networks against malicious activities. This research explores the efficacy of two optimization algorithms, namely Whale optimization Algor... 详细信息
来源: 评论
Pareto Front Estimation Model optimization for Aggregative Solution Set Representation  13
Pareto Front Estimation Model Optimization for Aggregative S...
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13th IEEE Congress on Evolutionary Computation, CEC 2024
作者: Okumura, Naru Takadama, Keiki Sato, Hiroyuki The University of Electro-Communications 1-5-1 Chofugaoka Tokyo Chofu182-8585 Japan
This paper aims to enhance the accuracy of the Pareto front estimation model as an aggregative representation of the non-dominated solutions and proposes an algorithm named the Pareto front Model optimization Algorith... 详细信息
来源: 评论