Title: Comparative study on nature inspired algorithms for optimization problem
Abstract: Nature inspired algorithms are gaining popularity for optimizing complex problems. These algorithms have been classified into 2 general categories, namely Evolutionary and Swarm Intelligence, which have further been divided into a couple of algorithms. This paper presents a comparative study between Bat Algorithm, Genetic algorithm, Artificial Bee Colony Algorithm and Ant Colony Optimization Algorithm. These algorithms are compared on the basis of various factors such as Efficiency, Accuracy, Performance, Reliability and Computation Time. At the end, a table has been created which enables the reader to easily differentiate between them and realise which algorithm outperforms the others.
Publication Year: 2017
Publication Date: 2017-04-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 16
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