咨询与建议

限定检索结果

文献类型

  • 19 篇 期刊文献
  • 4 篇 会议

馆藏范围

  • 23 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 20 篇 工学
    • 13 篇 电气工程
    • 13 篇 计算机科学与技术...
    • 4 篇 控制科学与工程
    • 3 篇 信息与通信工程
    • 2 篇 仪器科学与技术
    • 2 篇 建筑学
    • 2 篇 土木工程
    • 2 篇 水利工程
    • 1 篇 动力工程及工程热...
    • 1 篇 石油与天然气工程
  • 7 篇 理学
    • 4 篇 生物学
    • 2 篇 数学
    • 1 篇 物理学
    • 1 篇 化学
    • 1 篇 统计学(可授理学、...
  • 3 篇 管理学
    • 3 篇 管理科学与工程(可...
  • 1 篇 农学
  • 1 篇 医学
    • 1 篇 基础医学(可授医学...

主题

  • 23 篇 multiobjective a...
  • 3 篇 optimization
  • 2 篇 linear programmi...
  • 2 篇 nonlinear goal p...
  • 1 篇 multi-objective ...
  • 1 篇 power demand
  • 1 篇 multiobjective o...
  • 1 篇 multiobjective t...
  • 1 篇 gaussian process...
  • 1 篇 single-cell rna ...
  • 1 篇 clustering
  • 1 篇 mopso
  • 1 篇 casting
  • 1 篇 multiple perform...
  • 1 篇 optimal power fl...
  • 1 篇 task analysis
  • 1 篇 nonconvex goal p...
  • 1 篇 sensitivity anal...
  • 1 篇 goal programming
  • 1 篇 design optimizat...

机构

  • 2 篇 northeast normal...
  • 2 篇 univ pittsburgh ...
  • 1 篇 hefei univ techn...
  • 1 篇 vsb tu ostrava f...
  • 1 篇 jilin univ trans...
  • 1 篇 torrens univ aus...
  • 1 篇 china univ geosc...
  • 1 篇 natl inst techno...
  • 1 篇 shenzhen univ co...
  • 1 篇 rajasthan rajya ...
  • 1 篇 univ manchester ...
  • 1 篇 glodon co ltd 16...
  • 1 篇 univ new south w...
  • 1 篇 city univ hong k...
  • 1 篇 xian petr inst e...
  • 1 篇 yantai univ sch ...
  • 1 篇 shenzhen univ co...
  • 1 篇 xidian univ sch ...
  • 1 篇 univ fed pernamb...
  • 1 篇 wuhan univ wuhan...

作者

  • 2 篇 li xiangtao
  • 2 篇 wong ka-chun
  • 1 篇 jusof m. f. m.
  • 1 篇 lin yu-sheng
  • 1 篇 qiu zhiguang
  • 1 篇 cao wenming
  • 1 篇 majumder aurpan
  • 1 篇 yao xin
  • 1 篇 poojitha s. n.
  • 1 篇 hu haigen
  • 1 篇 kumar vijay
  • 1 篇 wei ruihua
  • 1 篇 li dashuang
  • 1 篇 li xia
  • 1 篇 yang zhijiang
  • 1 篇 kaveh ali
  • 1 篇 razak a.
  • 1 篇 yang jianbo
  • 1 篇 zhang zhiyong
  • 1 篇 zhiyong zhang

语言

  • 23 篇 英文
检索条件"主题词=Multiobjective algorithm"
23 条 记 录,以下是1-10 订阅
排序:
KMOEA: A Knowledge-Based multiobjective algorithm for Distributed Hybrid Flow Shop in a Prefabricated System
收藏 引用
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2022年 第8期18卷 5318-5329页
作者: Li, Jun-Qing Chen, Xiao-Long Duan, Pei-Yong Mou, Jian-Hui Shandong Normal Univ Sch Informat & Engn Jinan 250014 Peoples R China Liaocheng Univ Sch Comp Sci Liaocheng 252059 Shandong Peoples R China Yantai Univ Sch Math & Informat Sci Yantai 264005 Peoples R China Yantai Univ Sch Mech Elect & Automot Engn Yantai 264005 Peoples R China
In this article, a distributed hybrid flow shop scheduling problem with variable speed constraints is considered. To solve it, a knowledge-based adaptive reference points multiobjective algorithm (KMOEA) is developed.... 详细信息
来源: 评论
Robust and Reliable Design Alternatives to Water Distribution Networks: Introducing a Penalty-Free Hybrid Metaheuristic multiobjective algorithm with a Posterior Performance Investigation Model
收藏 引用
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT 2024年 第12期150卷 04024055-04024055页
作者: Poojitha, S. N. Jothiprakash, V. Natl Inst Technol Calicut Dept Civil Engn Kozhikode 673601 Kerala India Indian Inst Technol Dept Civil Engn Mumbai 400076 Maharashtra India
The present study introduces a novel penalty-free hybrid metaheuristic, differential evolution-krill herd algorithm (DE-KHA) a multiobjective algorithm (MOA) for the reliability-based optimal design of water distribut... 详细信息
来源: 评论
multiobjective Placement of Edge Servers in MEC Environment Using a Hybrid algorithm Based on NSGA-II and MOPSO
收藏 引用
IEEE INTERNET OF THINGS JOURNAL 2024年 第18期11卷 29819-29837页
作者: Bahrami, Bahareh Khayyambashi, Mohammad Reza Mirjalili, Seyedali Univ Isfahan Fac Comp Engn Dept Comp Architecture Esfahan *** Iran Univ Isfahan Fac Comp Engn Dept Software Engn Esfahan *** Iran Torrens Univ Australia Brisbane Ctr Artificial Intelligence Res & Optimisat Fortitudevalley Qld 4006 Australia Obuda Univ Univ Res & Innovat Ctr H-1034 Budapest Hungary VSB TU Ostrava Fac Elect Engn & Comp Sci Ostrava 70080 Czech Republic
In a mobile edge computing (MEC) environment, latency and energy consumption can be reduced by offloading tasks from mobile devices to edge servers (ESs) instead of remote cloud servers. The placement of ESs closest t... 详细信息
来源: 评论
A Steady-State algorithm for Solving Expensive multiobjective Optimization Problems With Nonparallelizable Evaluations
收藏 引用
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 2023年 第5期27卷 1544-1558页
作者: Rahi, Kamrul Hasan Singh, Hemant Kumar Ray, Tapabrata Univ New South Wales Sch Engn & Informat Technol Canberra ACT 2600 Australia
Expensive multiobjective optimization problems (EMOPs) refer to those wherein evaluation of each candidate solution incurs a significant cost. To solve such problems within a limited number of solution evaluations, su... 详细信息
来源: 评论
Expensive multiobjective Optimization Based on Information Transfer Surrogate
收藏 引用
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2023年 第3期53卷 1684-1696页
作者: Luo, Jianping Dong, YongFei Zhu, Zexuan Cao, Wenming Li, Xia Shenzhen Univ Coll Elect & Informat Engn Guangdong Key Lab Intelligent Informat Proc Shenzhen 518060 Peoples R China Shenzhen Univ Coll Comp & Software Engn Shenzhen 518060 Peoples R China Shenzhen Univ Coll Elect & Informat Engn Shenzhen 518060 Peoples R China
Objective value estimation based on computationally efficient surrogate models is widely used to reduce the computational cost in solving expensive multiobjective optimization problems (MOPs). However, due to the scar... 详细信息
来源: 评论
A multiobjective Design Architecture for Versatile Stretchable Touchscreen Displays
收藏 引用
IEEE SENSORS JOURNAL 2023年 第18期23卷 21956-21965页
作者: Wu, Ziyi Gu, Yifan Chen, Junwei Qiu, Zhiguang Cheng, Yunfan Lu, Hao Zhu, Yuyang Wang, Yida Lin, Yu-Sheng Gui, Xuchun Deng, Shaozhi Qin, Zong Yang, Bo-Ru Sun Yat Sen Univ State Key Lab Optoelect Mat & Technol Guangdong Prov Key Lab Display Mat & Technol Sch Elect & Informat Technol Guangzhou 510006 Peoples R China
Stretchable touch sensors, which can be conformally attached to arbitrary surfaces, endow any uneven surfaces with intelligence for interacting with humans by sensing the input signal, which is critical for future Int... 详细信息
来源: 评论
Grid-based multi-objective cheetah optimization for engineering applications
收藏 引用
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS 2025年 第4期28卷 1-27页
作者: Sharma, Shubhkirti Kumar, Vijay Natl Inst Technol Dept Comp Sci & Engn Hamirpur 177001 HP India Dr BR Ambedkar Natl Inst Technol Dept Informat Technol Jalandhar 144011 Punjab India
This paper introduces a novel Grid-based Multi-Objective Cheetah Optimizer (MCO) algorithm for engineering applications. The MCO algorithm is derived from the hunting strategy of cheetahs and builds upon its single-ob... 详细信息
来源: 评论
A new MOPSO algorithm for solving mathematical test functions and control engineering problems
收藏 引用
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL 2023年 第15期45卷 2968-2980页
作者: Mahmoodabadi, M. J. Rasekh, M. Sirjan Univ Technol Dept Mech Engn Sirjan Iran Shahid Rajaee Teacher Training Univ Sch Mech Engn Tehran Iran Sirjan Univ Technol Dept Mech Engn Sirjan 78185439 Iran
In this article, a new multiobjective particle swarm optimization (MOPSO) algorithm is introduced to improve the performance of a sliding mode based robust fuzzy proportional-integral-derivative (PID) controller. In t... 详细信息
来源: 评论
Multi-Objective Optimization Framework for Optimal Power Flow Problem of Hybrid Power Systems Considering Security Constraints
收藏 引用
IEEE ACCESS 2022年 10卷 103509-103528页
作者: Pandya, Sundaram B. Ravichandran, Sowmya Manoharan, Premkumar Jangir, Pradeep Alhelou, Hassan Haes Shri KJ Polytech Dept Elect Engn Bharuch 392001 Gujarat India Natl Inst Technol Dept Elect & Elect Engn Tiruchirappalli 620015 Tamil Nadu India Dayananda Sagar Coll Engn Dept Elect & Elect Engn Bengaluru 560078 Karnataka India Rajasthan Rajya Vidyut Prasaran Nigam Ltd Sikar 332025 Rajasthan India Tishreen Univ Dept Elect Power Engn Latakia 2230 Syria
The hybrid model of the power system infrastructure is an essential part of the sophisticated technology of the electrical network. Generally, for the Optimal Power Flow (OPF) problem, the power system with only therm... 详细信息
来源: 评论
HyMOTree: Automatic Hyperparameters Tuning for Non-Technical Loss Detection Based on Multi-Objective and Tree-Based algorithms
收藏 引用
ENERGIES 2023年 第13期16卷 4971页
作者: Coelho, Francisco Jonatas Siqueira Feitosa, Allan Rivalles Souza Alcantara, Andre Luis Michels Li, Kaifeng Lima, Ronaldo Ferreira Silva, Victor Rios da Silva-Filho, Abel Guilhermino Univ Fed Pernambuco Informat Ctr CIn BR-50670901 Recife PE Brazil Eldorado Res Inst BR-13083898 Campinas SP Brazil Paulista Power & Light Co BR-13070740 Campinas SP Brazil
The most common methods to detect non-technical losses involve Deep Learning-based classifiers and samples of consumption remotely collected several times a day through Smart Meters (SMs) and Advanced Metering Infrast... 详细信息
来源: 评论