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2020 IEEE 23rd International Multitopic Conference (INMIC) by Junaid, Muhammad (author);Bangyal, Waqas Haider (author);Ahmad, Jamil (author) is a nonfiction available to read on EtoBox.

What is 2020 IEEE 23rd International Multitopic Conference (INMIC) about?

Evolutionary and Swarm intelligence algorithms are widely used for global optimization problems. Bat Algorithm is one such algorithm based on a populationbased metaheuristic algorithm. Bat Algorithm faces the premature convergence problem in which bats get stuck in local optimum and cannot reach a global optimum safely. The initial population generation of the bats plays an important role to move efficiently in a d-dimensional search space. The Standard Bat Algorithm (StdBA) uses random distribution for the initialization of bats. In this paper, we propose a novel variant of the Bat algorithm, namely, the Bat Algorithm using the Sobol sequence (BASobol). In this variant, the exploration abilities of StdBA are enhanced using Sobol distribution instead of random distribution. Furthermore, the velocity update equation is also modified using Inertia Weight. Ten different standard benchmark functions are compared with the proposed technique to test its validity. Statistical results of BASobol are compared with StdBA and Modified Bat Algorithm (MBA). Superior results are seen by BASobol over seven benchmark functions.

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Author

Junaid, Muhammad (author);Bangyal, Waqas Haider (author);Ahmad, Jamil (author)

Publisher

IEEE

Published

2020

Language

EN

Category

nonfiction