Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

A survey of evolutionary continuous dynamic optimization over two decades – part A

Tools
- Tools
+ Tools

Yazdani, Danial , Cheng, Ran, Yazdani, Donya, Branke, Jürgen, Jin, Yaochu and Yao, Xin (2021) A survey of evolutionary continuous dynamic optimization over two decades – part A. IEEE Transactions on Evolutionary Computation, 25 (4). pp. 609-629. doi:10.1109/TEVC.2021.3060014

[img]
Preview
PDF
WRAP-survey-evolutionary-continuous-dynamic-optimization-over-two-decades-part-A-Branke-2021.pdf - Accepted Version - Requires a PDF viewer.

Download (894Kb) | Preview
Official URL: http://dx.doi.org/10.1109/TEVC.2021.3060014

Request Changes to record.

Abstract

Many real-world optimization problems are dynamic. The field of dynamic optimization deals with such problems where the search space changes over time. In this two-part paper, we present a comprehensive survey of the research in evolutionary dynamic optimization for single-objective unconstrained continuous problems over the last two decades. In Part A of this survey, we propose a new taxonomy for the components of dynamic optimization algorithms, namely, convergence detection, change detection, explicit archiving, diversity control, and population division and management. In comparison to the existing taxonomies, the proposed taxonomy covers some additional important components, such as convergence detection and computational resource allocation. Moreover, we significantly expand and improve the classifications of diversity control and multi-population methods, which are under-represented in the existing taxonomies. We then provide detailed technical descriptions and analysis of different components according to the suggested taxonomy. Part B of this survey provides an indepth analysis of the most commonly used benchmark problems, performance analysis methods, static optimization algorithms used as the optimization components in the dynamic optimization algorithms, and dynamic real-world applications. Finally, several opportunities for future work are pointed out.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Social Sciences > Warwick Business School > Operational Research & Management Sciences
Faculty of Social Sciences > Warwick Business School
Library of Congress Subject Headings (LCSH): Structural optimization , Mathematical optimization -- Data processing, Evolutionary computation, Genetic algorithms
Journal or Publication Title: IEEE Transactions on Evolutionary Computation
Publisher: IEEE
ISSN: 1089-778X
Official Date: August 2021
Dates:
DateEvent
August 2021Published
18 February 2021Available
20 February 2021Accepted
Volume: 25
Number: 4
Page Range: pp. 609-629
DOI: 10.1109/TEVC.2021.3060014
Status: Peer Reviewed
Publication Status: Published
Publisher Statement: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us