中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
长春光学精密机械与物... [2]
数学与系统科学研究院 [1]
近代物理研究所 [1]
采集方式
OAI收割 [4]
内容类型
会议论文 [2]
期刊论文 [2]
发表日期
2021 [1]
2014 [1]
2008 [1]
2007 [1]
学科主题
筛选
浏览/检索结果:
共4条,第1-4条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Identifying Top-k Influential Nodes Based on Discrete Particle Swarm Optimization With Local Neighborhood Degree Centrality
期刊论文
OAI收割
IEEE ACCESS, 2021, 卷号: 9, 页码: 21345-21356
作者:
Han, Lihong
;
Zhou, Qingguo
;
Tang, Jianxin
;
Yang, Xuhui
;
Huang, Hengjun
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/12/10
Social networking (online)
Particle swarm optimization
Optimization
Search problems
Integrated circuit modeling
Heuristic algorithms
Social sciences
Discrete particle swarm optimization
local search strategy
neighbourhood degree centrality
top-k influential nodes
social network
A TRANSFER FORECASTING MODEL FOR CONTAINER THROUGHPUT GUIDED BY DISCRETE PSO
期刊论文
OAI收割
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2014, 卷号: 27, 期号: 1, 页码: 181-192
作者:
Xiao Jin
;
Xiao Yi
;
Fu Julei
;
Lai Kin Keung
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2021/01/14
HONG-KONG
CARGO THROUGHPUT
PORT
TIME
Analog complexing
container throughput forecasting
discrete particle swarm optimization
transfer forecasting model
A comparative study of discrete differential evolution on binary constraint satisfaction problems (EI CONFERENCE)
会议论文
OAI收割
2008 IEEE Congress on Evolutionary Computation, CEC 2008, June 1, 2008 - June 6, 2008, Hong Kong, China
Yang Q.
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2013/03/25
There are some variants and applications of the discretization of differential evolution. Performances of discrete differential evolution algorithms on random binary constraint satisfaction problem are studied in this paper
and a novel discrete differential evolution algorithm based on exchanging elements is proposed. We compare the proposed discrete differential evolution
evolutionary algorithms and discrete particle swarm optimization on random binary constraint satisfaction problems. Experimental results indicate though the proposed algorithm is simpler
it is competitive with other evolutionary algorithms solving constraint satisfaction problems. 2008 IEEE.
An improved discrete particle swarm optimization algorithm for TSP (EI CONFERENCE)
会议论文
OAI收割
2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007, November 2, 2007 - November 5, 2007, Silicon Valley, CA, United states
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2013/03/25
An Improved discrete particle swarm optimization (DPSO)-based algorithm for the traveling salesman problem (TSP) is proposed. In order to overcome the problem of premature convergence
a novel depressor is proposed and a diversity measure to control the swarm is also introduced which can be used to switch between the attractor and depressor. The proposed algorithm has been applied to a set of benchmark problems and compared with the existing algorithms for solving TSP using swarm intelligence. The results show that it can prevent premature convergence to a high degree
but still keeps a rapid convergence like the basic DPSO. 2007 IEEE.