Next Article in Journal
Rectifier Fault Diagnosis Based on Euclidean Norm Fusion Multi-Frequency Bands and Multi-Scale Permutation Entropy
Previous Article in Journal
High-Precision Time Synchronization Based on Timestamp Mapping in Datacenter Networks
Previous Article in Special Issue
Multi-Channel Hypergraph Collaborative Filtering with Attribute Inference
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

HawkFish Optimization Algorithm: A Gender-Bending Approach for Solving Complex Optimization Problems

1
Department of Electrical and Computer Engineering, Altinbas University, Istanbul 34218, Turkey
2
Department of Information Technologies, Altinbas University, Istanbul 34218, Turkey
*
Author to whom correspondence should be addressed.
Electronics 2025, 14(3), 611; https://doi.org/10.3390/electronics14030611
Submission received: 12 December 2024 / Revised: 22 January 2025 / Accepted: 29 January 2025 / Published: 4 February 2025

Abstract

Inspired by the gender transition behavior seen in hawkfish, this paper introduces the HawkFish optimization algorithm, a nature-inspired optimization technique modeled on the unique gender transition behavior of hawkfish. By leveraging this biological phenomenon, the proposed method addresses optimization problems through dual fitness functions, combining an original and inverse fitness function to drive search space exploration while avoiding local minima. The algorithm’s performance is rigorously evaluated against benchmark problems, including the CEC/GECCO 2019 suite, and applied to real-world engineering challenges like welded beam and tension/compression spring design. The proposed method consistently outperforms existing algorithms in terms of convergence rate, accuracy, and solution quality. The results underscore the algorithm’s efficiency in exploring unknown search spaces and solving complex optimization tasks, making it a promising tool for various domains requiring high precision and optimization efficiency.
Keywords: metaheuristics; CEC/GECCO 2019; HawkFish algorithm; optimization; welded beam design; TCS design problem metaheuristics; CEC/GECCO 2019; HawkFish algorithm; optimization; welded beam design; TCS design problem

Share and Cite

MDPI and ACS Style

Alkharsan, A.; Ata, O. HawkFish Optimization Algorithm: A Gender-Bending Approach for Solving Complex Optimization Problems. Electronics 2025, 14, 611. https://doi.org/10.3390/electronics14030611

AMA Style

Alkharsan A, Ata O. HawkFish Optimization Algorithm: A Gender-Bending Approach for Solving Complex Optimization Problems. Electronics. 2025; 14(3):611. https://doi.org/10.3390/electronics14030611

Chicago/Turabian Style

Alkharsan, Ali, and Oguz Ata. 2025. "HawkFish Optimization Algorithm: A Gender-Bending Approach for Solving Complex Optimization Problems" Electronics 14, no. 3: 611. https://doi.org/10.3390/electronics14030611

APA Style

Alkharsan, A., & Ata, O. (2025). HawkFish Optimization Algorithm: A Gender-Bending Approach for Solving Complex Optimization Problems. Electronics, 14(3), 611. https://doi.org/10.3390/electronics14030611

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop