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Horse Optimization Algorithm: A Novel Bio-Inspired Algorithm for Solving Global Optimization Problems

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Artificial Intelligence and Bioinspired Computational Methods (CSOC 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1225))

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Abstract

We introduce a novel bio-inspired algorithm named Horse Optimization Algorithm (HOA) which has as primary source of inspiration the hierarchical organization of the horse herds. The article presents the main principles of the proposed algorithm, the pseudo-code version of the algorithm and a modified version named Discrete Binary Horse Optimization Algorithm (DBHOA). HOA is evaluated and validated using six objective functions and is compared with Chicken Swarm Optimization (CSO) and Cat Swarm Optimization Algorithm (CSOA). Finally, the article presents the application of DBHOA in features selection for data generated in a smart grid for the classification of the stability of the system and it considers as experimental support the Electrical Grid Stability Simulated Dataset.

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Authors and Affiliations

  1. Faculty of Automation and Computer Science, Technical University of Cluj-Napoca, Cluj-Napoca, Romania

    Dorin Moldovan

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  1. Dorin Moldovan
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Correspondence to Dorin Moldovan .

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Editors and Affiliations

  1. Tomas Bata University, Zlín, Czech Republic

    Radek Silhavy

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Moldovan, D. (2020). Horse Optimization Algorithm: A Novel Bio-Inspired Algorithm for Solving Global Optimization Problems. In: Silhavy, R. (eds) Artificial Intelligence and Bioinspired Computational Methods. CSOC 2020. Advances in Intelligent Systems and Computing, vol 1225. Springer, Cham. https://doi.org/10.1007/978-3-030-51971-1_16

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