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Anti-Predatory NIA for Unconstrained Mathematical Optimization Problems

Anti-Predatory NIA for Unconstrained Mathematical Optimization Problems

Rohit Kumar Sachan, Dharmender Singh Kushwaha
Copyright: © 2020 |Volume: 11 |Issue: 1 |Pages: 23
ISSN: 1947-9263|EISSN: 1947-9271|EISBN13: 9781799806691|DOI: 10.4018/IJSIR.2020010101
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MLA

Sachan, Rohit Kumar, and Dharmender Singh Kushwaha. "Anti-Predatory NIA for Unconstrained Mathematical Optimization Problems." IJSIR vol.11, no.1 2020: pp.1-23. http://doi.org/10.4018/IJSIR.2020010101

APA

Sachan, R. K. & Kushwaha, D. S. (2020). Anti-Predatory NIA for Unconstrained Mathematical Optimization Problems. International Journal of Swarm Intelligence Research (IJSIR), 11(1), 1-23. http://doi.org/10.4018/IJSIR.2020010101

Chicago

Sachan, Rohit Kumar, and Dharmender Singh Kushwaha. "Anti-Predatory NIA for Unconstrained Mathematical Optimization Problems," International Journal of Swarm Intelligence Research (IJSIR) 11, no.1: 1-23. http://doi.org/10.4018/IJSIR.2020010101

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Abstract

Nature-Inspired Algorithms (NIAs) are one of the most efficient methods to solve the optimization problems. A recently proposed NIA is the anti-predatory NIA, which is based on the anti-predatory behavior of frogs. This algorithm uses five different types of self-defense mechanisms in order to improve its anti-predatory strength. This paper demonstrates the computation steps of anti-predatory for solving the Rastrigin function and attempts to solve 20 unconstrained minimization problems using anti-predatory NIA. The performance of anti-predatory NIA is compared with the six competing meta-heuristic algorithms. A comparative study reveals that the anti-predatory NIA is a more promising than the other algorithms. To quantify the performance comparison between the algorithms, Friedman rank test and Holm-Sidak test are used as statistical analysis methods. Anti-predatory NIA ranks first in both cases of “Mean Result” and “Standard Deviation.” Result measures the robustness and correctness of the anti-predatory NIA. This signifies the worth of anti-predatory NIA in the domain of mathematical optimization.

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