Efficiency Analysis of Swarm Intelligence and Randomization Techniques [PDF]
, 2012 Swarm intelligence has becoming a powerful technique in solving design and scheduling tasks. Metaheuristic algorithms are an integrated part of this paradigm, and particle swarm optimization is often viewed as an important landmark.
Yang, Xin-She
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Designing a fruit identification algorithm in orchard conditions to develop robots using video processing and majority voting based on hybrid artificial neural network [PDF]
, 2020 The first step in identifying fruits on trees is to develop garden robots for different purposes such as fruit harvesting and spatial specific spraying.
Kalantari, Davood +3 more
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Linear-nonlinear stiffness responses of carbon fiber-reinforced polymer composite materials and structures: a numerical study [PDF]
, 2021 The stiffness response or load-deformation/displacement behavior is the most important mechanical behavior that frequently being utilized for validation of the mathematical-physical models representing the mechanical behavior of solid objects in ...
Abdullah, Mohamed Ruslan +6 more
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Data Clustering on Breast Cancer Data Using Firefly Algorithm with Golden Ratio Method
Advances in Electrical and Computer Engineering, 2015 Heuristic methods are problem solving methods. In general, they obtain near-optimal solutions, and they do not take the care of provability of this case.
DEMIR, M., KARCI, A.
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Churn prediction on huge telecom data using hybrid firefly based classification
Egyptian Informatics Journal, 2017 Churn prediction in telecom has become a major requirement due to the increase in the number of telecom providers. However due to the hugeness, sparsity and imbalanced nature of the data, churn prediction in telecom has always been a complex task.
Ammar A.Q. Ahmed, D. Maheswari
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Photovoltaic MPPT Control Method Based on Improved Firefly Algorithm
Journal of Harbin University of Science and Technology, 2020 Under partially shaded conditions, the power of the photovoltaic system becomes lower and the PU characteristic curve has multiple peaks. The standard firefly algorithm will fail to work and is prone to oscillation during the final phase of convergence ...
ZHANG Peng +3 more
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Implementasi Algoritma Kunang-Kunang Untuk Penjadwalan Mata Kuliah Di Universitas Ma Chung [PDF]
, 2015 . Course scheduling is considered as a complex matter because the generated schedule must guarantee that there are no clashes of classes, lecturers, and students’ schedules. At Ma Chung University, course scheduling is still accomplished manually.
Hanafi, L. H. (Lo) +2 more
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A Gaussian Firefly Algorithm [PDF]
International Journal of Machine Learning and Computing, 2011 Firefly algorithm is one of the evolutionary optimization algorithms, and is inspired by fireflies behavior in nature. Each firefly movement is based on absorption of the other one. In this paper to stabilize firefly's movement, it is proposed a new behavior to direct fireflies movement to global best if there was no any better solution around them. In
Sh. M. Farahani +3 more
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A Novel Hybrid Firefly Algorithm Based on the Vector Angle Learning Mechanism
IEEE Access, 2020 The firefly algorithm (FA) is one of the swarm intelligence algorithms which can solve global optimization problems accurately. In the traditional FA, the position of each firefly can only be updated by the brightness of other fireflies around it.
Chunyu Xu, Huipeng Meng, Yufeng Wang
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Artificial intelligence in the cyber domain: Offense and defense [PDF]
, 2020 Artificial intelligence techniques have grown rapidly in recent years, and their applications in practice can be seen in many fields, ranging from facial recognition to image analysis.
Diep, Quoc Bao +2 more
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