Results 31 to 40 of about 6,856 (176)

An approach to reduce water consumption by optimizing and determining of crop cultivation pattern using meta-heuristic algorithms: A case study on Moghan plain [PDF]

Journal of Applied Research in Water and Wastewater, 2020
Optimizing the crop cultivation pattern, in order to reduce water consumption, in arid and semi-arid regions such as Iran, due to water scarcity and food intake, is an essential solution for food intakes needs. Optimizing the crop cultivation pattern, in
Yahya Choopan, Somayeh Emami
doaj   +1 more source

Metaheuristic design of feedforward neural networks: a review of two decades of research [PDF]

, 2017
Over the past two decades, the feedforward neural network (FNN) optimization has been a key interest among the researchers and practitioners of multiple disciplines.
Abbass, Abraham, Ackley, Ajith Abraham, Akhand, Alba, Ali Ahmadi, Almeida, Alvarez, Amari, Andersen, Angeline, Arifovic, Augusteijn, Azimi-Sadjadi, Bakker, Baranyi, Battiti, Bertsekas, Bishop, Bland, Bousquet, Boussaid, Breiman, Brownlee, Carvalho, Chandra, Charalambous, Chen, Chen, Chen, Chen, Cho, Chrisley, Coello, Cortes, Costa, Cruz-Ramírez, Cybenko, Da, da Silva, Dai, Das, Das, Davis, de Albuquerque Teixeira, Deneubourg, Dhahri, Diebold, Ding, Ditzler, Dominey, Donate, Dorigo, Dumont, Engel, Fahlman, Feo, FernandezCaballero, Fister, Fletcher, Fogel, Fogel, Fontanari, Formato, Frean, Fukumizu, Fullér, Furtuna, Garcia-Pedrajas, García-Pedrajas, García-Pedrajas, Gaspar-Cunha, Geem, Geman, Gershenfeld, Ghalambaz, Girosi, Giustolisi, Glover, Goh, Goldberg, Gori, Gorin, Green, Grossberg, Hagan, Hansen, Haykin, Haykin, Hernández, Hestenes, Hinton, Hinton, Hinton, Hirose, Ho, Holland, Hopfield, Hornik, Hornik, Huang, Huang, Huang, Huang, Huang, Igel, Ilonen, Irani, Irani, Islam, Jacobs, Jain, Jain, Jin, Juang, Kaelbling, Karaboga, Karpat, Kennedy, Khan, Khan, Kim, Kim, Kim, Kim, Kiranyaz, Kirkpatrick, Kitano, Kitano, Kohonen, Kolmogorov, Kordík, Kouda, Koza, Kulluk, Kŭrková, Lam, Larrañaga, LeCun, Lera, Leshno, Leung, Leung, Lewenstein, Li, Lin, Lin, Ling, Lippmann, Liu, Liu, Lowe, Ludermir, Mahdavi, Maniezzo, March, Marquardt, Martínez-Muñoz, Mazurowski, McCulloch, Menczer, Merrill, Metropolis, Minku, Minsky, Mirjalili, Mirjalili, Mitra, Mjolsness, Mladenović, Moriarty, Murray, Nakama, Nandy, Narayanan, Natschläger, Nedjah, Niranjan, Niu, Nolfi, Oh, Ojha, Osman, Pan, Passino, Pearce, Pencina, Peng, Pettersson, Pipino, Polikar, Prechelt, Prisecaru, Puig, Rashedi, Reed, Ritchie, Rosenblatt, Rumelhart, Rumelhart, Saad, Salajegheh, Sarkar, Schaffer, Schapire, Schmidhuber, Schwefel, Sejnowski, Selmic, Sexton, Sexton, Sexton, Shang, Sharma, Sietsma, Simovici, Sivagaminathan, Slowik, Socha, Socha, Sokolova, Sporea, Stanley, Storn, Sum, Sörensen, Tang, Tayefeh Mahmoudi, Toh, Tong, Trelea, Trentin, Tsai, Tsai, Tsoulos, Twomey, Ulagammai, Van den Bergh, van der Voet, Varun Kumar Ojha, Venkadesh, Ventura, Vieira, Václav Snášel, Wand, Wang, Wessels, Weyland, Whitley, Widrow, Wiegand, Wilson, Wolpert, Wolpert, Xi-Zhao, Yaghini, Yang, Yang, Yao, Yao, Yao, Yao, Yao, Yao, Yao, Ye, Yin, Yusiong, Zhang, Zhang, Zhang, Zhang, Zhang, Zhao, Zhou, Zhou, Zikopoulos, Zăvoianu, Černỳ   +279 more
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A Parallel Multi-Verse Optimizer for Application in Multilevel Image Segmentation

IEEE Access, 2020
Multi-version optimizer (MVO) inspired by the multi-verse theory is a new optimization algorithm for challenging multiple parameter optimization problems in the real world.
Xiaopeng Wang, Jeng-Shyang Pan, Shu-Chuan Chu   +2 more
doaj   +1 more source

An Orthodontic Path Planning Method Based on Improved Gray Wolf Optimization Algorithm

Soft Computing, 2023
Abstract Automatic tooth arrangement and path planning plays an essential role in computer-aided orthodontic treatment. However, state-of-the-art methods have some shortcomings: low efficiency, excessive cost of displacements or collisions and insufficient accuracy.
Xiaozhi Du, Ting Yu, Kai Chen
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Type 2 Diabetes Prediction using Gray Wolf Optimization Algorithm

Indian Journal of Forensic Medicine & Toxicology, 2021
Background: Increasing the number of diabetic patients and the ignorance of most of these patients aboutthe dangers arising from it is a challenge that threatens human lives.Materials and Method: In this paper, a new solution based on the Gray Wolf Optimization (GWO) algorithmfor predicting type 2 diabetes is presented. The main purpose of the proposed
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The Bent-Tube Nozzle Optimization of Force-Spinning With the Gray Wolf Algorithm [PDF]

Frontiers in Bioengineering and Biotechnology, 2021
Force-spinning is a popular way to fabricate various fine fibers such as polymer and metal nanofibers, which are being widely employed in medical and industrial manufacture. The spinneret is the key of the device for spinning fibers, and the physical performance and morphology of the spun nanofibers are largely determined by its structure parameters ...
Kang Liu, Wenhui Li, Peiyan Ye, Zhiming Zhang, Qiaoling Ji, Zijun Wu   +5 more
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PRACTICAL AND THEORETICAL ASPECTS OF MATHEMATICAL MODELING OF THE OPTIMIZATION PROCESS OF MANAGING MULTIGROUP BEHAVIOR OF AGENTS IN DISTRIBUTED SYSTEMS BASED ON THE GWO ALGORITHM

Вісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології
This work focused on the applied aspects and features of the gray wolf pack optimizer or the GWO algorithm in the context of application in multi-agent distributed systems.
Bohdan Skrypka, Dmytro Yelchaninov
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Optimizing a Multi-Layer Perceptron Based on an Improved Gray Wolf Algorithm to Identify Plant Diseases

Mathematics, 2023
Metaheuristic optimization algorithms play a crucial role in optimization problems. However, the traditional identification methods have the following problems: (1) difficulties in nonlinear data processing; (2) high error rates caused by local ...
Chunguang Bi, Qiaoyun Tian, He Chen, Xianqiu Meng, Huan Wang, Wei Liu, Jianhua Jiang   +6 more
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A Multi Hidden Recurrent Neural Network with a Modified Grey Wolf Optimizer

, 2019
Identifying university students' weaknesses results in better learning and can function as an early warning system to enable students to improve. However, the satisfaction level of existing systems is not promising.
Abbas, Dosti K., Rashid, Tarik A., Turel, Yalin K.   +2 more
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Solving competitive traveling salesman problem using Gray Wolf Optimization Algorithm

Periodicals of Engineering and Natural Sciences (PEN), 2020
In this paper a Gray Wolf Optimization (GWO) algorithm is presented to solve the Competitive Traveling Salesman Problem (CTSP). In CTSP, there are numbers of non-cooperative salesmen their goal is visiting a larger possible number of cities with lowest cost and most gained benefit.
Mushreq Luay Taha, Belal Al-Khateeb, Yasser F. Hassan, Ossama M.M. Ismail, Ossama Abu Rawash   +4 more
openaire   +1 more source