NDLI: A novel disruption in biogeography-based optimization with application to optimal power flow problem

Content Provider	Springer Nature Link
Author	Bansal, Jagdish Chand Farswan, Pushpa
Copyright Year	2016
Abstract	Biogeography-based optimization (BBO) is an emerging meta-heuristic algorithm. Due to ease of implementation and very few user-dependent parameters, BBO gained popularity among researchers. The performance of BBO is highly dependent on its two operators, migration and mutation. The performance of BBO can be significantly improved by either modifying these operators or by introducing a new operator into it. This paper proposes a new operator, namely the disruption operator to improve the capability of exploration and exploitation in BBO. The proposed DisruptBBO (DBBO) has been tested on well-known benchmark problems and compared with various versions of BBO and other state-of-the-art metaheuristics. The experimental results and statistical analyses confirm the superior performance of the proposed DBBO in solving various nonlinear complex optimization problems. The proposed algorithm has also been applied to the optimal power flow optimization problem from the electrical engineering background.
Starting Page	590
Ending Page	615
Page Count	26
File Format	PDF
ISSN	0924669X
Journal	Applied Intelligence
Volume Number	46
Issue Number	3
e-ISSN	15737497
Language	English
Publisher	Springer US
Publisher Date	2016-10-13
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Disruption operator Migration operator Optimal power flow Biogeography-based optimization Artificial Intelligence (incl. Robotics) Mechanical Engineering Manufacturing, Machines, Tools
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence

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