NDLI: CDEPSO: a bi-population hybrid approach for dynamic optimization problems

Content Provider	Springer Nature Link
Author	Kordestani, Javidan Kazemi Rezvanian, Alireza Meybodi, Mohammad Reza
Copyright Year	2014
Abstract	Many real-world optimization problems are dynamic, in which the environment, i.e. the objective function and restrictions, can change over time. In this case, the optimal solution(s) to the problem may change as well. These problems require optimization algorithms to continuously and accurately track the trajectory of the optima (optimum) through the search space. In this paper, we propose a bi-population hybrid collaborative model of Crowding-based Differential Evolution (CDE) and Particle Swarm Optimization (PSO) for Dynamic Optimization Problems (DOPs). In our approach, called CDEPSO, a population of genomes is responsible for locating several promising areas of the search space and keeping diversity throughout the run using CDE. Another population is used to exploit the area around the best found position using the PSO. Several mechanisms are used to increase the efficiency of CDEPSO when finding and tracking peaks in the solution space. A set of experiments was carried out to evaluate the performance of the proposed algorithm on dynamic test instances generated using the Moving Peaks Benchmark (MPB). Experimental results show that the proposed approach is effective in dealing with DOPs.
Starting Page	682
Ending Page	694
Page Count	13
File Format	PDF
ISSN	0924669X
Journal	Applied Intelligence
Volume Number	40
Issue Number	4
e-ISSN	15737497
Language	English
Publisher	Springer US
Publisher Date	2014-01-08
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Dynamic optimization problems Crowding-based differential evolution Particle swarm optimization Moving peaks benchmark MPB Artificial Intelligence (incl. Robotics) Mechanical Engineering Manufacturing, Machines, Tools
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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