Title :
A hybrid Cat Swarm Optimization with invasive weed optimization
Author :
Ojha, A K ; Naidu, Y Ramu
Author_Institution :
School of Basic Sciences, Indian Institute of Technology, Bhubaneswar, Odisha, India
Abstract :
Cat Swarm Optimization (CSO) is a recent meta-heuristic optimization algorithm to obtain a global optimal solution. Sometimes the standard CSO converges to an optimal solution slowly and may not obtain the accurate solution. To avoid these drawbacks, Invasive weed optimization (IWO) is added to the CSO in tracing mode.
Keywords :
Cats; Convergence; Genetic algorithms; Mathematical model; Optimization; Particle swarm optimization; Standards; Cat Swarm Optimization; Invasive Weed Optimization;
Conference_Titel :
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location :
Visakhapatnam, India
Print_ISBN :
978-1-4799-7676-8
DOI :
10.1109/EESCO.2015.7253995
