1 Varol Altay, E. (2023). Hybrid Archimedes optimization algorithm enhanced with mutualism scheme for global optimization problems. Artificial Intelligence Review, 56(7), 6885-6946.

2 Altay, O., & Altay, E. V. (2023). A novel chaotic transient search optimization algorithm for global optimization, real-world engineering problems and feature selection. PeerJ Computer Science, 9, e1526.

3 Altay, E. V., & Alatas, B. (2021). Differential evolution and sine cosine algorithm based novel hybrid multi-objective approaches for numerical association rule mining. Information Sciences, 554, 198-221.

4 Varol Altay, E., & Alatas, B. (2020). Bird swarm algorithms with chaotic mapping. Artificial Intelligence Review, 53(2), 1373-1414.

5 Altay, E. V., & Alatas, B. (2020). Randomness as source for inspiring solution search methods: Music based approaches. Physica A: Statistical Mechanics and its Applications, 537, 122650.

6 Altay, E. V., Altay, O., & Özçevik, Y. (2024). A Comparative Study of Metaheuristic Optimization Algorithms for Solving Real-World Engineering Design Problems. CMES-Computer Modeling in Engineering & Sciences, 139(1).

7 Gurgenc, E., Altay, O., & Altay, E. V. (2024). AOSMA-MLP: A Novel Method for Hybrid Metaheuristics Artificial Neural Networks and a New Approach for Prediction of Geothermal Reservoir Temperature. Applied Sciences, 14(8), 3534.

8 Altay, O., & Varol Altay, E. (2023). A novel hybrid multilayer perceptron neural network with improved grey wolf optimizer. Neural Computing and Applications, 35(1), 529-556.

9 Altay, E. V., Gurgenc, E., Altay, O., & Dikici, A. (2022). Hybrid artificial neural network based on a metaheuristic optimization algorithm for the prediction of reservoir temperature using hydrogeochemical data of different geothermal areas in Anatolia (Turkey). Geothermics, 104, 102476.

10 Altay, E. V., & Alatas, B. (2022). Chaos numbers based a new representation scheme for evolutionary computation: Applications in evolutionary association rule mining. Concurrency and Computation: Practice and Experience, 34(5), e6744.

11 Altay, E. V., & Alatas, B. (2020). Association analysis of Parkinson disease with vocal change characteristics using multi-objective metaheuristic optimization. Medical hypotheses, 141, 109722.

12 ALTAY, O., & ALTAY, E. V. (2023). Investigation of slime Mould algorithm and hybrid slime Mould Algorithms' performance in global optimization problems. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 13(4), 661-671.

13 Altay, E. V. (2022). Gerçek dünya mühendislik tasarim problemlerinin çözümünde kullanilan metasezgisel optimizasyon algoritmalarinin performanslarinin incelenmesi. International Journal of Innovative Engineering Applications, 6(1), 65-74.

14 Altay, E. V., & Alatas, B. (2020). Nicel Birliktelik Kural Madenciligi Için Baskin Olmayan Siralama Genetik Algoritma-II’nin Duyarlilik Analizi. Bilisim Teknolojileri Dergisi, 13(1), 37-46.

15 Altay, E. V., & Alatas, B. (2020). A novel clinical decision support system for liver fibrosis using evolutionary multi-objective method based numerical association analysis. Medical Hypotheses, 144, 110028.

16 Varol Altay, E., & Alatas, B. (2020). Performance analysis of multi-objective artificial intelligence optimization algorithms in numerical association rule mining. Journal of Ambient Intelligence and Humanized Computing, 11(8), 3449-3469.

17 Altay, E. V., & Altay, O. (2021). Güncel metasezgisel optimizasyon algoritmalarinin CEC2020 test fonksiyonlari ile karsilastirilmasi. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 12(5), 729-741.

18 Altay, E. V., & Alatas, B. (2020). Intelligent optimization algorithms for the problem of mining numerical association rules. Physica A: Statistical Mechanics and its Applications, 540, 123142.

19 VAROL, E., & ALATAS, B. (2017). Sürü zekâsinda yeni bir yaklasim: Kus sürüsü algoritmasi. Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi, 8(1), 133-146.

20 Varol, E. (2017). Kaotik kus sürüsü optimizasyon algoritmalari (Master's thesis, Fen Bilimleri Enstitüsü).

1 Altay, E. V. (2022, September). Solution of process synthesis problem using metaheuristic optimization algorithms. In 2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-5). IEEE.

2 Altay, E. V., & Alatas, B. (2019, November). Multi-objective association analysis of Parkinson disease with intelligent optimization algorithms. In 2019 1st International Informatics and Software Engineering Conference (UBMYK) (pp. 1-6). IEEE.

3 Altay, E. V., & Alatas, B. (2019, November). Sensitivity Analysis of MODENAR Method for Mining of Numeric Association Rules. In 2019 1st International Informatics and Software Engineering Conference (UBMYK) (pp. 1-6). IEEE.

4 Altay, E. V., & Alatas, B. (2018, December). Detection of cyberbullying in social networks using machine learning methods. In 2018 International Congress on Big Data, Deep Learning and Fighting Cyber Terrorism (IBIGDELFT) (pp. 87-91). IEEE.

5 Altay, E. V., & Alatas, B. (2018, March). Music based metaheuristic methods for constrained optimization. In 2018 6th International Symposium on Digital Forensic and Security (ISDFS) (pp. 1-6). IEEE.

1 Varol Altay, E., & Altay, O. (2022, September). Assessment of Grey Wolf Optimizer and Its Variants on Benchmark Functions. In International Conference on Computing, Intelligence and Data Analytics (pp. 55-66). Cham: Springer International Publishing.

2 Altay, E. V., & Alatas, B. (2019). Performance comparisons of socially inspired metaheuristic algorithms on unconstrained global optimization. In Advances in Computer Communication and Computational Sciences: Proceedings of IC4S 2017, Volume 1 (pp. 163-175). Springer Singapore.