Comparative study on nature inspired algorithms for optimization problem
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DOI: 10.1109/ICECA.2017.8212781
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摘要: Nature inspired algorithms are gaining popularity for optimizing complex problems. These have been classified into 2 general categories, namely Evolutionary and Swarm Intelligence, which further divided a couple of algorithms. This paper presents comparative study between Bat Algorithm, Genetic algorithm, Artificial Bee Colony Algorithm Ant Optimization Algorithm. compared on the basis various factors such as Efficiency, Accuracy, Performance, Reliability Computation Time. At end, table has created enables reader to easily differentiate them realise algorithm outperforms others.
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