An Optimized Continuous Dragonfly Algorithm Using Hill Climbing Local Search to Tackle the Low Exploitation Problem
Author:
Affiliation:
1. Department of Computing and Information Systems, School of Engineering and Technology, Sunway University, Petaling Jaya, Malaysia
Funder
Sunway University Internal Grant Scheme
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09878322.pdf?arnumber=9878322
Reference49 articles.
1. Classification of Sonar Targets Using an MLP Neural Network Trained by Dragonfly Algorithm
2. An Improvement of MRI Brain Images Classification Using Dragonfly Algorithm as Trainer of Artificial Neural Network
3. Ann models optimized using swarm intelligence algorithms;kayarvizhy;WSEAS Trans Comput,2014
4. Towards An Optimized Dragonfly Algorithm Using Hill Climbing Local Search To Tackle The Low Exploitation Problem
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