SSA

Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems. This work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA) and Multi-objective Salp Swarm Algorithm (MSSA) for solving optimization problems with single and multiple objectives. The main inspiration of SSA and MSSA is the swarming behaviour of salps when navigating and foraging in oceans. These two algorithms are tested on several mathematical optimization functions to observe and confirm their effective behaviours in finding the optimal solutions for optimization problems. The results on the mathematical functions show that the SSA algorithm is able to improve the initial random solutions effectively and converge towards the optimum. The results of MSSA show that this algorithm can approximate Pareto optimal solutions with high convergence and coverage. The paper also considers solving several challenging and computationally expensive engineering design problems (e.g. airfoil design and marine propeller design) using SSA and MSSA. The results of the real case studies demonstrate the merits of the algorithms proposed in solving real-world problems with difficult and unknown search spaces.


References in zbMATH (referenced in 34 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. Eslami, N.; Yazdani, S.; Mirzaei, M.; Hadavandi, E.: Aphid-ant mutualism: a novel nature-inspired metaheuristic algorithm for solving optimization problems (2022)
  3. Hu, Gang; Du, Bo; Li, Huinan; Wang, Xupeng: Quadratic interpolation boosted black widow spider-inspired optimization algorithm with wavelet mutation (2022)
  4. Hu, Gang; Zhong, Jingyu; Du, Bo; Wei, Guo: An enhanced hybrid arithmetic optimization algorithm for engineering applications (2022)
  5. Khalilpourazari, Soheyl; Doulabi, Hossein Hashemi: Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec (2022)
  6. Kutlu Onay, Funda; Aydemir, Salih Berkan: Chaotic hunger games search optimization algorithm for global optimization and engineering problems (2022)
  7. Ma, Dewei; Ren, Weijie; Han, Min: A two-stage causality method for time series prediction based on feature selection and momentary conditional independence (2022)
  8. 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)
  9. Yin, Shihong; Luo, Qifang; Du, Yanlian; Zhou, Yongquan: DTSMA: dominant swarm with adaptive T-distribution mutation-based slime mould algorithm (2022)
  10. Zamani, Hoda; Nadimi-Shahraki, Mohammad H.; Gandomi, Amir H.: Starling murmuration optimizer: a novel bio-inspired algorithm for global and engineering optimization (2022)
  11. Zheng, Rong; Jia, Heming; Abualigah, Laith; Liu, Qingxin; Wang, Shuang: An improved arithmetic optimization algorithm with forced switching mechanism for global optimization problems (2022)
  12. Zheng, Rong; Jia, Heming; Abualigah, Laith; Wang, Shuang; Wu, Di: An improved remora optimization algorithm with autonomous foraging mechanism for global optimization problems (2022)
  13. Abualigah, Laith; Diabat, Ali; Mirjalili, Seyedali; Abd Elaziz, Mohamed; Gandomi, Amir H.: The arithmetic optimization algorithm (2021)
  14. Blanco-Cocom, Luis; Botello-Rionda, Salvador; Ordoñez, L. C.; Valdez, S. Ivvan: Robust parameter estimation of a PEMFC via optimization based on probabilistic model building (2021)
  15. Ewees, Ahmed A.; Al-qaness, Mohammed A. A.; Abd Elaziz, Mohamed: Enhanced salp swarm algorithm based on firefly algorithm for unrelated parallel machine scheduling with setup times (2021)
  16. Ibrahim, Rehab Ali; Abd Elaziz, Mohamed; Ewees, Ahmed A.; El-Abd, Mohammed; Lu, Songfeng: New feature selection paradigm based on hyper-heuristic technique (2021)
  17. Mokhtarzadeh, Mahdi; Rabbani, Masoud; Manavizadeh, Neda: A novel two-stage framework for reducing ergonomic risks of a mixed-model parallel U-shaped assembly-line (2021)
  18. Ngo, Van-Quang-Binh; Latifi, Mohsen; Abbassi, Rabeh; Jerbi, Houssem; Ohshima, Kentaro; khaksar, Mehrdad: Improved krill herd algorithm based sliding mode MPPT controller for variable step size P&O method in PV system under simultaneous change of irradiance and temperature (2021)
  19. Ren, Hao; Li, Jun; Chen, Huiling; Li, ChenYang: Adaptive Lévy-assisted salp swarm algorithm: analysis and optimization case studies (2021)
  20. Salgotra, Rohit; Singh, Urvinder; Singh, Gurdeep; Mittal, Nitin; Gandomi, Amir H.: A self-adaptive hybridized differential evolution naked mole-rat algorithm for engineering optimization problems (2021)

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