咨询与建议

限定检索结果

文献类型

  • 126 篇 期刊文献
  • 62 篇 会议
  • 2 篇 学位论文

馆藏范围

  • 190 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 168 篇 工学
    • 104 篇 计算机科学与技术...
    • 60 篇 电气工程
    • 42 篇 信息与通信工程
    • 24 篇 控制科学与工程
    • 14 篇 软件工程
    • 8 篇 动力工程及工程热...
    • 7 篇 机械工程
    • 7 篇 石油与天然气工程
    • 5 篇 仪器科学与技术
    • 5 篇 土木工程
    • 4 篇 电子科学与技术(可...
    • 4 篇 交通运输工程
    • 3 篇 力学(可授工学、理...
    • 3 篇 航空宇航科学与技...
    • 2 篇 材料科学与工程(可...
    • 1 篇 建筑学
    • 1 篇 水利工程
    • 1 篇 化学工程与技术
    • 1 篇 船舶与海洋工程
    • 1 篇 核科学与技术
  • 35 篇 管理学
    • 33 篇 管理科学与工程(可...
  • 23 篇 理学
    • 13 篇 数学
    • 3 篇 物理学
    • 3 篇 化学
    • 2 篇 系统科学
    • 2 篇 统计学(可授理学、...
    • 1 篇 海洋科学
    • 1 篇 生物学
  • 1 篇 经济学
    • 1 篇 应用经济学
  • 1 篇 医学
  • 1 篇 军事学

主题

  • 190 篇 multi-objective ...
  • 18 篇 genetic algorith...
  • 16 篇 evolutionary alg...
  • 13 篇 optimization
  • 10 篇 energy efficienc...
  • 9 篇 particle swarm o...
  • 8 篇 collaborative be...
  • 6 篇 multi-objective ...
  • 6 篇 nsga-ii
  • 6 篇 moea
  • 5 篇 uav communicatio...
  • 4 篇 wireless communi...
  • 4 篇 convergence
  • 4 篇 energy consumpti...
  • 4 篇 mop
  • 4 篇 pareto optimal s...
  • 4 篇 unmanned aerial ...
  • 4 篇 evolutionary com...
  • 3 篇 many-objective o...
  • 3 篇 pareto front

机构

  • 9 篇 jilin univ coll ...
  • 5 篇 northeastern uni...
  • 3 篇 shandong normal ...
  • 2 篇 harbin engineeri...
  • 2 篇 vellore inst tec...
  • 2 篇 sun yat sen univ...
  • 2 篇 beijing univ tec...
  • 2 篇 georgia inst tec...
  • 2 篇 nanjing univ sta...
  • 2 篇 poznan univ tech...
  • 2 篇 china univ geosc...
  • 2 篇 qinghai normal u...
  • 2 篇 jilin univ coll ...
  • 2 篇 department of en...
  • 2 篇 hebei univ techn...
  • 2 篇 jilin univ key l...
  • 2 篇 open univ hong k...
  • 2 篇 shahrood univ te...
  • 2 篇 missouri univ sc...
  • 2 篇 vel tech rangara...

作者

  • 9 篇 sun geng
  • 7 篇 li jiahui
  • 6 篇 liang shuang
  • 4 篇 wang hongfeng
  • 4 篇 wang aimin
  • 4 篇 kang hui
  • 4 篇 liu yanheng
  • 3 篇 huang min
  • 2 篇 lafon pascal
  • 2 篇 ni qiang
  • 2 篇 ramesh s.
  • 2 篇 chengjie zheng
  • 2 篇 ren wenjie
  • 2 篇 nowak lech
  • 2 篇 fu yaping
  • 2 篇 karunanithi k.
  • 2 篇 nandi arup kumar
  • 2 篇 jahangiri mohamm...
  • 2 篇 leung man-fai
  • 2 篇 knypinski lukasz

语言

  • 183 篇 英文
  • 6 篇 其他
  • 1 篇 中文
检索条件"主题词=multi-objective optimization problem"
190 条 记 录,以下是11-20 订阅
排序:
Tradeoff Analysis of Unintentional Interference and Communication Rate of UAV
收藏 引用
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2025年 第4期74卷 5941-5953页
作者: Lu, Yongguang Wang, Kehao Liu, Pei Chen, Lin Shin, Hyundong Quek, Tony Q. S. Wuhan Univ Technol Sch Informat Engn Wuhan 430070 Peoples R China Sun Yat Sen Univ Sch Comp Sci & Engn Guangzhou 510006 Peoples R China Kyung Hee Univ Dept Elect Engn Yongin 17104 South Korea Singapore Univ Technol & Design Informat Syst Technol & DesignPillar Singapore 487372 Singapore
With the development of unmanned aerial vehicle (UAV) technology, using UAVs as aerial communication platforms to provide additional communication services is a promising technology. However, due to the scarcity of sp... 详细信息
来源: 评论
optimization of high-dimensional expensive multi-objective problems using multi-mode radial basis functions
收藏 引用
COMPLEX & INTELLIGENT SYSTEMS 2025年 第2期11卷 1-22页
作者: Shen, Jiangtao Wang, Xinjing He, Ruixuan Tian, Ye Wang, Wenxin Wang, Peng Wen, Zhiwen Northwestern Polytech Univ Sch Marine Sci & Technol Youyi West Rd Xian 710072 Shaanxi Peoples R China Anhui Univ Inst Phys Sci & Informat Technol Minist Educ Key Lab Intelligent Comp & Signal Proc Jiulong Rd Hefei 230601 Anhui Peoples R China Xian Precis Machinery Res Inst Jinye Rd Xian 710072 Shaanxi Peoples R China
Numerous surrogate-assisted evolutionary algorithms are developed for multi-objective expensive problems with low dimensions, but scarce works have paid attention to that with high dimensions, i.e., generally more tha... 详细信息
来源: 评论
A multi-objective approach for the integrated planning of drone and robot assisted truck operations in last-mile delivery
收藏 引用
EXPERT SYSTEMS WITH APPLICATIONS 2025年 269卷
作者: Mokhtari-Moghadam, Ali Salhi, Abdellah Yang, Xinan Nguyen, Trung Thanh Pourhejazy, Pourya Liverpool John Moores Univ Sch Engn Liverpool L3 England Univ Essex Sch Math Stat & Actuarial Sci Colchester CO4 3SQ England UiT Arctic Univ Norway Dept Ind Engn N-8514 Narvik Norway
Supply chains are experiencing a major transition driven by changing customer expectations, environmental concerns, and technological development. Considering the surge in e-commerce since the pandemic, the path forwa... 详细信息
来源: 评论
A hybrid evolutionary algorithm with adaptive multi-population strategy for multi-objective optimization problems
收藏 引用
SOFT COMPUTING 2017年 第20期21卷 5975-5987页
作者: Wang, Hongfeng Fu, Yaping Huang, Min Huang, George Wang, Junwei Univ Hong Kong Dept Ind & Mfg Syst Engn Hong Kong Hong Kong Peoples R China Northeastern Univ Coll Informat Sci & Engn Shenyang Liaoning Peoples R China
In this paper, a new multi-objective evolutionary algorithm (MOEA) named hybrid MOEA with adaptive multi-population strategy (HMOEA-AMP) is proposed for multi-objective optimization problems (MOPs).In the framework of... 详细信息
来源: 评论
Two efficient algorithms for constructing almost even approximations of the Pareto front in multi-objective optimization problems
收藏 引用
ENGINEERING optimization 2019年 第4期51卷 567-589页
作者: Dolatnezhadsomarin, Azam Khorram, Esmaile Amirkabir Univ Technol Dept Math & Comp Sci Tehran Iran
In this article, two algorithms are proposed for constructing almost even approximations of the Pareto front of multi-objective optimization problems. The first algorithm is a hybrid of the epsilon-constraint and Pasc... 详细信息
来源: 评论
An Efficient Marine Predators Algorithm for Solving multi-objective optimization problems: Analysis and Validations
收藏 引用
IEEE ACCESS 2021年 9卷 42817-42844页
作者: Abdel-Basset, Mohamed Mohamed, Reda Mirjalili, Seyedali Chakrabortty, Ripon K. Ryan, Michael Zagazig Univ Fac Comp & Informat Zagazig 44519 Egypt Torrens Univ Australia Ctr Artificial Intelligence Res & Optimizat Fortitude Valley Qld 4006 Australia UNSW Canberra Sch Engn & Informat Technol Capabil Syst Ctr Campbell ACT 2612 Australia
Recently, a new strong optimization algorithm called marine predators algorithm (MPA) has been proposed for tackling the single-objective optimization problems and could dramatically fulfill good outcomes in compariso... 详细信息
来源: 评论
A novel approach for the solution of multiobjective optimization problem using hesitant fuzzy aggregation operator
收藏 引用
RAIRO-OPERATIONS RESEARCH 2022年 第1期56卷 275-292页
作者: Ahmad, Firoz Adhami, Ahmad Yusuf John, Boby Reza, Amit Indian Stat Inst SQC & OR Unit Bangalore Karnataka India Indian Inst Technol Gandhinagar Gandhinagar Gujarat India Aligarh Muslim Univ Dept Stat & Operat Res Aligarh Uttar Pradesh India
Many decision-making problems can solve successfully by traditional optimization methods with a well-defined configuration. The formulation of such optimization problems depends on crisply objective functions and a sp... 详细信息
来源: 评论
Generation of Pareto optimal solutions for multi-objective optimization problems via a reduced interior-point algorithm
收藏 引用
JOURNAL OF TAIBAH UNIVERSITY FOR SCIENCE 2018年 第5期12卷 514-519页
作者: El-Sobky, B. Abo-Elnaga, Y. Alexandria Univ Fac Sci Dept Math & Comp Sci Alexandria Egypt Higher Technol Inst Dept Basic Sci Tenth Of Ramadan City Egypt
In this paper, a reduced interior-point (RIP) algorithm is introduced to generate a Pareto optimal front for multi-objective constrained optimization (MOCP) problem. A weighted Tchebychev metric approach is used toget... 详细信息
来源: 评论
Solving general convex quadratic multi-objective optimization problems via a projection neurodynamic model
收藏 引用
COGNITIVE NEURODYNAMICS 2024年 第4期18卷 2095-2110页
作者: Jahangiri, Mohammadreza Nazemi, Alireza Shahrood Univ Technol Fac Math Sci POB ***-316 Shahrood Iran
A neural network model is constructed to solve convex quadratic multi-objective programming problem (CQMPP). The CQMPP is first converted into an equivalent single-objective convex quadratic programming problem by the... 详细信息
来源: 评论
Solving multi-objective optimization problems using Differential Evolution Algorithm with Different Population Initialization Techniques  7
Solving Multi-Objective Optimization Problems using Differen...
收藏 引用
7th International Conference on Computing, Communications and Informatics (ICACCI)
作者: Devika, K. Jeyakumar, G. Amrita VishwaVidyapeetham Amrita Sch Engn Dept Comp Sci & Engn Coimbatore Tamil Nadu India
The researchers of Evolutionary Computing (EC) community proposing new and different algorithmic strategies to tackle the increasing issues in handling optimization problems. As the number of objectives in an optimiza... 详细信息
来源: 评论