Comparative Study of Bio-inspired algorithms for Unconstrained Optimization Problem
Author(s) : ADIL HASHMI , DIVYA GUPTA, NISHANT GOEL, SHRUTI GOEL
Abstract
Nature inspired meta-heuristic algorithms are iterative search processes which find near optimal solutions by efficiently performing exploration and exploitation of the solution space. Considering the solution space in a specified region, this work compares performances of Bat, Cuckoo search and Firefly algorithms for unconstrained optimization problems. Global optima are found using various test functions of different characteristics.
No fo Author(s) : 4
Page(s) : 7 - 11
Electronic ISSN : 2250-3749
Volume 3 :
Issue 3
Full Paper PDF
Views : 590 | Download(s) : 165
