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Evolutionary Computation for Dynamic Optimisation in Network Environments
Yao, Xin
(Principal Investigator)
Computer Science
Overview
Fingerprint
Research output
(19)
Project Details
Short title
Evolutionary Computation for Dynamic Optimisation in Network Environments
Status
Finished
Effective start/end date
25/02/13
→
17/08/17
Funding
Engineering & Physical Science Research Council
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Large-scale Optimization
Mathematics
100%
Multiobjective optimization
Engineering & Materials Science
91%
Evolutionary multiobjective Optimization
Mathematics
78%
Black-box Optimization
Mathematics
77%
Evolutionary algorithms
Engineering & Materials Science
77%
Benchmark
Mathematics
77%
Dynamic Optimization
Mathematics
57%
Dynamic Optimization Problems
Mathematics
56%
Research output
Research output per year
2014
2015
2016
2017
2018
2018
18
Article
1
Conference contribution
Research output per year
Research output per year
A Systematic Study of Online Class Imbalance Learning With Concept Drift
Wang, S.
,
Minku, L. L.
&
Yao, X.
,
Oct 2018
,
In:
IEEE Transactions on Neural Networks and Learning Systems.
29
,
10
,
p. 4802-4821
20 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Data streams
100%
64
Citations (Scopus)
252
Downloads (Pure)
Dynamic Multi-Objectives Optimization with a Changing Number of Objectives
Chen, R.
,
Li, K.
&
Yao, X.
,
Feb 2018
,
In:
IEEE Transactions on Evolutionary Computation.
22
,
1
,
p. 157-171
33 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Dynamic Optimization
100%
Multi-objective Optimization
86%
Multiobjective optimization
65%
Objective function
29%
Dynamic Optimization Problems
25%
52
Citations (Scopus)
221
Downloads (Pure)
Evolutionary Multiobjective Optimization Based Multimodal Optimization: Fitness Landscape Approximation and Peak Detection
Cheng, R.
,
Li, M.
,
Li, K.
&
Yao, X.
,
Oct 2018
,
In:
IEEE Transactions on Evolutionary Computation.
22
,
5
,
p. 692 - 706
15 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Multimodal Optimization
100%
Evolutionary multiobjective Optimization
93%
Fitness Landscape
82%
Multiobjective optimization
54%
Multiobjective Optimization Problems
35%
31
Citations (Scopus)
159
Downloads (Pure)