References in zbMATH (referenced in 74 articles )

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  1. Abualigah, Laith; Almotairi, Khaled H.; Elaziz, Mohamed Abd; Shehab, Mohammad; Altalhi, Maryam: Enhanced flow direction arithmetic optimization algorithm for mathematical optimization problems with applications of data clustering (2022)
  2. Alimoradi, Mahmoud; Azgomi, Hossein; Asghari, Ali: Trees social relations optimization algorithm: a new swarm-based metaheuristic technique to solve continuous and discrete optimization problems (2022)
  3. Dudi, Bhanuprakash; Rajesh, V.: Optimized threshold-based convolutional neural network for plant leaf classification: a challenge towards untrained data (2022)
  4. Eslami, N.; Yazdani, S.; Mirzaei, M.; Hadavandi, E.: Aphid-ant mutualism: a novel nature-inspired metaheuristic algorithm for solving optimization problems (2022)
  5. Hashim, Fatma A.; Houssein, Essam H.; Hussain, Kashif; Mabrouk, Mai S.; Al-Atabany, Walid: Honey badger algorithm: new metaheuristic algorithm for solving optimization problems (2022)
  6. Hu, Gang; Dou, Wanting; Wang, Xiaofeng; Abbas, Muhammad: An enhanced chimp optimization algorithm for optimal degree reduction of Said-Ball curves (2022)
  7. Hu, Gang; Zhong, Jingyu; Du, Bo; Wei, Guo: An enhanced hybrid arithmetic optimization algorithm for engineering applications (2022)
  8. Khalilpourazari, Soheyl; Doulabi, Hossein Hashemi: Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec (2022)
  9. Kutlu Onay, Funda; Aydemir, Salih Berkan: Chaotic hunger games search optimization algorithm for global optimization and engineering problems (2022)
  10. Liu, Jianxun; Shi, Jinfei; Hao, Fei; Dai, Min: A reinforced exploration mechanism whale optimization algorithm for continuous optimization problems (2022)
  11. Örnek, Bülent Nafi; Aydemir, Salih Berkan; Düzenli, Timur; Özak, Bilal: A novel version of slime mould algorithm for global optimization and real world engineering problems. Enhanced slime mould algorithm (2022)
  12. Shen, Yunzhu; Tang, Wei: Tuning of two-degree-of-freedom IMC based on a strange nonchaotic optimization approach for large time-delay processes (2022)
  13. Wissing, Pepijn; van Dam, Edwin R.: Unit gain graphs with two distinct eigenvalues and systems of lines in complex space (2022)
  14. Yin, Shihong; Luo, Qifang; Du, Yanlian; Zhou, Yongquan: DTSMA: dominant swarm with adaptive T-distribution mutation-based slime mould algorithm (2022)
  15. Zamani, Hoda; Nadimi-Shahraki, Mohammad H.; Gandomi, Amir H.: Starling murmuration optimizer: a novel bio-inspired algorithm for global and engineering optimization (2022)
  16. Zheng, Rong; Jia, Heming; Abualigah, Laith; Wang, Shuang; Wu, Di: An improved remora optimization algorithm with autonomous foraging mechanism for global optimization problems (2022)
  17. Abualigah, Laith; Diabat, Ali; Mirjalili, Seyedali; Abd Elaziz, Mohamed; Gandomi, Amir H.: The arithmetic optimization algorithm (2021)
  18. Aksakalli, Vural; Yenice, Zeren D.; Malekipirbazari, Milad; Kargar, Kamyar: Feature selection using stochastic approximation with Barzilai and Borwein non-monotone gains (2021)
  19. Azizi, Mahdi: Atomic orbital search: a novel metaheuristic algorithm (2021)
  20. Chou, Jui-Sheng; Truong, Dinh-Nhat: A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean (2021)

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