Suchergebnisse - "swarm algorithm"

Optimal amalgamation of DG units in radial distribution system for techno-economic study by improved SSA: Practical case study von Neda, Omar Muhammed

“… •The optimal placement for DG units is suggested with techno-economic analysis.•Application of the improved salp swarm algorithm (ISSA) to the suggested …”
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Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique von Altan, Aytaç, Karasu, Seçkin

“… •A new hybrid COVID-19 recognition model based on deep learning technique.•Model performance improvement with the help of chaotic optimization …”
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Explainable support vector regression coupled with quantum firefly optimisation algorithm for carbon emission prediction in West Africa: The role of socioeconomic, energy, and environmental factors von Mati, Sagiru, Usman, Abdullahi G., Ismael, Goran Yousif, Babuga, Umar Tijjani, Nadarajah, Saralees, Masoud, Serag, Uzun Ozsahin, Dilber, Abba, Sani I.

“… Achieving the Sustainable Development Goals and creating sustainable environmental policies depend on accurate carbon emission prediction. The Autoregressive …”
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Enhancing the Lithium-ion battery life predictability using a hybrid method von Li, Ling-Ling, Liu, Zhi-Feng, Tseng, Ming-Lang, Chiu, Anthony S.F.

“… This study contributes to proposing the improved bird swarm algorithm optimization least squares support vector machine (IBSA-LSSVM) model to predict the …”
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The optimization design for the journal-thrust couple bearing surface texture based on particle swarm algorithm von Shi, Jiahao, Zhao, Bin, He, Jingyi, Lu, Xiqun

“… Journal-thrust coupled bearings (JTC bearings), unlike conventional journal or thrust bearings, require consideration of both reducing friction coefficient in …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection von Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

“… •An improved Salp Swarm Algorithm is proposed for feature selection.•Opposition based learning was used with to improve its population diversity.•New local …”
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Improved tunicate swarm algorithm: Solving the dynamic economic emission dispatch problems von Li, Ling-Ling, Liu, Zhi-Feng, Tseng, Ming-Lang, Zheng, Sheng-Jie, Lim, Ming K.

“… This study proposes improved tunicate swarm algorithm (ITSA) for solving and optimizing the dynamic economic emission dispatch (DEED) problem. The DEED …”
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Rolling bearing fault diagnosis based on SSA optimized self-adaptive DBN von Gao, Shuzhi, Xu, Lintao, Zhang, Yimin, Pei, Zhiming

“… Due to the structure of rolling bearings and the complexity of the operating environment, collected vibration signals tend to show strong non-stationary and …”
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Classifying collisions in road accidents using XGBOOST, CATBOOST and SALP SWARM based optimization algorithms von Altaf, Insha, Kaul, Ajay

“… Traffic accidents are the leading cause of death and injury in many developed nations. Anyone utilizing the road can meet an accident at any moment of time …”
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Parameter fitting of variogram based on hybrid algorithm of particle swarm and artificial fish swarm von Zhang, Xialin, Lian, Lingkun, Zhu, Fukang

“… Variation function is an important tool for describing the spatial correlation characteristics of regionalized variables in geostatistical methods. Variation …”
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A novel deep autoencoder feature learning method for rotating machinery fault diagnosis von Shao, Haidong, Jiang, Hongkai, Zhao, Huiwei, Wang, Fuan

“… [Display omitted] •A deep autoencoder feature learning method is proposed.•Maximum correntropy is used to design the new deep autoencoder loss …”
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Chameleon Swarm Algorithm: A bio-inspired optimizer for solving engineering design problems von Braik, Malik Shehadeh

“… •Chameleon Swarm Algorithm (CSA) is benchmarked on 67 benchmark functions.•The exploitation ability of CSA is affirmed by the results on unimodal …”
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Boosting salp swarm algorithm by sine cosine algorithm and disrupt operator for feature selection von Neggaz, Nabil, Ewees, Ahmed A., Elaziz, Mohamed Abd, Mafarja, Majdi

“… •Propose a novel FS method, called ISSAFD, which improves Salp Swarm Algorithm (SSA).•ISSAFS enhanced the followers in SSA using SCA and Disrupt operator …”
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Quadratic interpolation and a new local search approach to improve particle swarm optimization: Solar photovoltaic parameter estimation von Qaraad, Mohammed, Amjad, Souad, Hussein, Nazar K., Farag, M.A., Mirjalili, Seyedali, Elhosseini, Mostafa A.

“… The Particle Swarm Optimization technique (PSO) is widely used in practical applications due to its flexibility and strong optimization performance. However, …”
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Assessment of tunnel blasting-induced overbreak: A novel metaheuristic-based random forest approach von He, Biao, Armaghani, Danial Jahed, Lai, Sai Hin

“… [Display omitted] •Three hybrid RF models were developed to predict blast-induced overbreak.•The RF-TSA model outperformed other predictive RF models in …”
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Optimal sizing design and integrated cost-benefit assessment of stand-alone microgrid system with different energy storage employing chameleon swarm algorithm: A rural case in Northeast China von Zhou, Jianguo, Xu, Zhongtian

“… This paper proposes an optimal sizing design and cost-benefit evaluation framework for stand-alone renewable microgrid system to serve rural community load …”
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Implementation of hybrid SSA–SA based three-degree-of-freedom fractional-order PID controller for AGC of a two-area power system integrated with small hydro plants von Nayak, Jyoti Ranjan, Shaw, Binod, Sahu, Binod Kumar

“… In this work, a comparative study is analysed between the fractional-order controllers such as fractional-order proportional–integral–derivative (FOPID), …”
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A competitive chain-based Harris Hawks Optimizer for global optimization and multi-level image thresholding problems von Elaziz, Mohamed Abd, Heidari, Ali Asghar, Fujita, Hamido, Moayedi, Hossein

“… This paper presents an enhanced Harris Hawks Optimizer (HHO) to tackle global optimization and determine the optimal threshold values for multi-level image …”
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Partial shading mitigation of PV systems via different meta-heuristic techniques von Mohamed, Mohamed A., Zaki Diab, Ahmed A., Rezk, Hegazy

“… Recently, electricity generation from solar photovoltaic (PV) has gained popularity throughout the world due to its profuse availability and eco-friendly …”
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A dynamic locality multi-objective salp swarm algorithm for feature selection von Aljarah, Ibrahim, Habib, Maria, Faris, Hossam, Al-Madi, Nailah, Heidari, Ali Asghar, Mafarja, Majdi, Elaziz, Mohamed Abd, Mirjalili, Seyedali

“… •A novel multi-objective SSA algorithm is proposed.•Two essential components; dynamic time-varying strategy and the local fittest solutions are integrated with …”
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