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Volume 14
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10.3390/a14120358
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Article

Agent State Flipping Based Hybridization of Heuristic Optimization Algorithms: A Case of Bat Algorithm and Krill Herd Hybrid Algorithm

by
Robertas Damaševičius
1,* and
Rytis Maskeliūnas
2
1
Faculty of Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland
2
Department of Multimedia Engineering, Kaunas University of Technology, 51368 Kaunas, Lithuania
*
Author to whom correspondence should be addressed.
Algorithms 2021, 14(12), 358; https://doi.org/10.3390/a14120358
Submission received: 15 November 2021 / Revised: 6 December 2021 / Accepted: 8 December 2021 / Published: 10 December 2021
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Abstract

This paper describes a unique meta-heuristic technique for hybridizing bio-inspired heuristic algorithms. The technique is based on altering the state of agents using a logistic probability function that is dependent on an agent’s fitness rank. An evaluation using two bio-inspired algorithms (bat algorithm (BA) and krill herd (KH)) and 12 optimization problems (cross-in-tray, rotated hyper-ellipsoid (RHE), sphere, sum of squares, sum of different powers, McCormick, Zakharov, Rosenbrock, De Jong No. 5, Easom, Branin, and Styblinski–Tang) is presented. Furthermore, an experimental evaluation of the proposed scheme using the industrial three-bar truss design problem is presented. The experimental results demonstrate that the hybrid scheme outperformed the baseline algorithms (mean rank for the hybrid BA-KH algorithm is 1.279 vs. 1.958 for KH and 2.763 for BA).
Keywords: hyper-heuristic; meta-heuristic; bio-inspired algorithms; heuristic optimization hyper-heuristic; meta-heuristic; bio-inspired algorithms; heuristic optimization

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MDPI and ACS Style

Damaševičius, R.; Maskeliūnas, R. Agent State Flipping Based Hybridization of Heuristic Optimization Algorithms: A Case of Bat Algorithm and Krill Herd Hybrid Algorithm. Algorithms 2021, 14, 358. https://doi.org/10.3390/a14120358

AMA Style

Damaševičius R, Maskeliūnas R. Agent State Flipping Based Hybridization of Heuristic Optimization Algorithms: A Case of Bat Algorithm and Krill Herd Hybrid Algorithm. Algorithms. 2021; 14(12):358. https://doi.org/10.3390/a14120358

Chicago/Turabian Style

Damaševičius, Robertas, and Rytis Maskeliūnas. 2021. "Agent State Flipping Based Hybridization of Heuristic Optimization Algorithms: A Case of Bat Algorithm and Krill Herd Hybrid Algorithm" Algorithms 14, no. 12: 358. https://doi.org/10.3390/a14120358

APA Style

Damaševičius, R., & Maskeliūnas, R. (2021). Agent State Flipping Based Hybridization of Heuristic Optimization Algorithms: A Case of Bat Algorithm and Krill Herd Hybrid Algorithm. Algorithms, 14(12), 358. https://doi.org/10.3390/a14120358

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