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Multi-population methods in unconstrained continuous dynamic environments: The challenges

Li, C and Nguyen, TT and Yang, M and Yang, S and Zeng, S (2015) Multi-population methods in unconstrained continuous dynamic environments: The challenges. INFORMATION SCIENCES, 296. pp. 95-118. ISSN 0020-0255

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Abstract

Themulti-populationmethod has been widely used to solve unconstrained continuous dynamic optimization problems
with the aim of maintaining multiple populations on different peaks to locate and track multiple changing peaks
simultaneously. However, to make this approach efficient, several crucial challenging issues need to be addressed, e.g., how to determine the moment to react to changes, how to adapt the number of populations to changing environments,
and how to determine the search area of each population. In addition, several other issues, e.g., communication between populations, overlapping search, the way to create multiple populations, detection of changes, and local search operators, should be also addressed. The lack of attention on these challenging issues within multi-population
methods hinders the development of multi-population based algorithms in dynamic environments. In this paper, these challenging issues are comprehensively analyzed by a set of experimental studies from the algorithm design point of view. Experimental studies based on a set of popular algorithms show that the performance of algorithms is
significantly affected by these challenging issues on the moving peaks benchmark.

Keywords: Multi-population methods, dynamic optimization problems, evolutionary computation

Item Type: Article
Uncontrolled Keywords: 01 Mathematical Sciences, 08 Information And Computing Sciences, 09 Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Maritime and Mechanical Engineering
Publisher: ELSEVIER SCIENCE INC
Related URLs:
Date Deposited: 18 Aug 2015 13:49
Last Modified: 09 Nov 2016 12:28
DOI or Identification number: 10.1016/j.ins.2014.10.062
URI: http://researchonline.ljmu.ac.uk/id/eprint/524

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