DocumentCode
1994176
Title
A new adaptive Cuckoo search algorithm
Author
Naik, Manoj ; Nath, Maheshwari Rashmita ; Wunnava, Aneesh ; Sahany, Siddharth ; Panda, Rutuparna
Author_Institution
Sch. of Electron., ITER Siksha `O´ Anusandhan Univ., Bhubaneswar, India
fYear
2015
fDate
9-11 July 2015
Firstpage
1
Lastpage
5
Abstract
This paper presents a new adaptive Cuckoo search (ACS) algorithm based on the Cuckoo search (CS) for optimization. The main thrust is to decide the step size adaptively from its fitness value without using the Levy distribution. The other idea is to enhance the performance from the point of time and global minima. The performance of ACS against standard benchmark function show that the proposed algorithm converges to best solution with less time than Cuckoo search.
Keywords
convergence; optimisation; search problems; ACS algorithm; adaptive cuckoo search algorithm; adaptive step size; convergence; fitness value; global minima; optimization; performance enhancement; Algorithm design and analysis; Benchmark testing; Birds; Convergence; Microorganisms; Optimization; Signal processing algorithms; Cuckoo Search; Parameter free algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Recent Trends in Information Systems (ReTIS), 2015 IEEE 2nd International Conference on
Conference_Location
Kolkata
Type
conf
DOI
10.1109/ReTIS.2015.7232842
Filename
7232842
Link To Document