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
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;
Conference_Titel :
Recent Trends in Information Systems (ReTIS), 2015 IEEE 2nd International Conference on
Conference_Location :
Kolkata
DOI :
10.1109/ReTIS.2015.7232842
