Paper Info
Title
A Novel Cuckoo Search And S Performance Analysis
Abstract
Inspired by the original cuckoo search and share individual historical optimal information, we present a novel cuckoo search (NCS) algorithm for solving the optimization problems. Through considering the individual historical optimal information, the NCS algorithm iteratively shares and delivers these valuable information between two near generation solutions in order to improve its search performance. We research on the constant, Normal and Uniform distribution random orientation coefficient combination strategies, and analysis the performance of the algorithm under different parameters. It is tested with a set of improved complex nonlinear combination continuous functions by comparing it with standard cuckoo search and ICSPSO. The experimental results have validated that the proposed NCS is efficient and reliable.
Year
DOI
Venue
2018
10.1109/ICSAI.2018.8599507
2018 5TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI)
Keywords
Field
DocType
Cuckoo search, Levy distribution, Individual historical optimal information, optimization algorithm
Continuous function,Mathematical optimization,Nonlinear system,Control theory,Computer science,Uniform distribution (continuous),Cuckoo search,Optimization algorithm,Lévy distribution,Optimization problem
Conference
ISSN
Citations 
PageRank 
2474-0217
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Zhigang Lian1997.05
Lihua Lu201.01
Yangquan Chen32257242.16