Symmetric Cryptography With Shift 2^n-1, Hash Transformation, Optimization-Based Controller for Medical Image Infosecurity: Case Study in Mammographic Image by Pi-Yun Chen, Jian-Xing Wu, Chien-Ming Li, Chao-Lin Kuo, Neng-Sheng Pai, Chia-Hung Lin

“…Then, swarm optimization-based controllers, which are based on particle swarm optimization (PSO) and firefly algorithm (FA), are implemented to search the decryption key parameters. …”
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A Novel Spherical Shortest Path Planning Method for UAVs by Fan Liu, Pengchuan Wang, Aniruddha Bhattacharjya, Qianmu Li

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Supply Chain Management Using Evolutionary Algorithms by Skitsko Volodymyr I., Voinikov Mykola Yu.

“…Evolutionary algorithms are part of a broader field in artificial intelligence that is evolutionary computing. …”
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Computing the Projection on the Intersection of Linear Equality and Cardinality Constraints by Xiao-Jing Wang, Zhen-Sheng Yu

“…Finally, the Quasi-Newton method is applied to determine the optimal index function. Unlike traditional orthogonal projection methods, this method avoids direct computation of the projection matrix and instead employs a block-wise strategy to efficiently manage both linear equality and cardinality constraints, significantly broadening its applicability. …”
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Adaptive Multi-Objective Firefly Optimization for Energy-Efficient and QoS-Aware Scheduling in Distributed Green Data Centers by Ahmed Chiheb Ammari, Wael Labidi, Rami Al-Hmouz

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Construction of an Adaptive Motion Control System Optimal Information Exchange Scheme for a Group of Unmanned Aerial Vehicles by Leonid Nikolaevich Kazakov, Evgeniy Pavlovich Kubyshkin, Dmitry Ezrovich Paley

“…The movement of the UAV group is carried out in accordance with the adaptive algorithm for optimal control. Optimal controls are constructed to provide a minimum of the total energy expended. …”
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Quantum Computing and Machine Learning in Medical Decision-Making: A Comprehensive Review by James C. L. Chow

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Smart wearable sensor-based model for monitoring medication adherence using sheep flock optimization algorithm-attention-based bidirectional long short-term memory (SFOA-Bi-LSTM) by Yasser Alatawi, Palanisamy Amirthalingam, Narmatha Chellamani, Manimurugan Shanmuganathan, Mostafa A. Sayed Ali, Saleh Fahad Alqifari, Vasudevan Mani, Muralikrishnan Dhanasekaran, Abdulelah Saeed Alqahtani, Ahmed Aljabri

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Computer modeling of the basic mechanisms of bridge cranes by N. S. Galdin, O. V. Kurbatskaya, S. V. Eremina

“…The authors have proved that computer modeling of mechanisms, components and parts of bridge cranes is an important element in forming optimal design decisions of structures in systems of computer-aided engineering. …”
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Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

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Enhancing Global Optimization through the Integration of Multiverse Optimizer with Opposition-Based Learning by Vu Hong Son Pham, Nghiep Trinh Nguyen Dang, Van Nam Nguyen

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Performance analysis of DC-DC Buck converter with innovative multi-stage PIDn(1+PD) controller using GEO algorithm by Mostafa Jabari, Davut Izci, Serdar Ekinci, Mohit Bajaj, Ievgen Zaitsev

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A Dynamic Neural Network Optimization Model for Heavy Metal Content Prediction in Farmland Soil by Kun Cao, Cong Zhang, Liangliang Li, Shuaifeng Li

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Recurrent Neural Network Optimized by Grasshopper for Accurate Audio Data-Based Diagnosis of Parkinson's Disease by Saif Wali Ali Alsudani, Ghassan Khudair Saud

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Parallel strategies for a multi-criteria GRASP algorithm Estratégias de paralelização para um algoritmo GRASP multicritério by Dalessandro Soares Vianna, José Elias Claudio Arroyo, Pedro Sampaio Vieira, Thiago Ribeiro de Azeredo

“…The computational results show that the proposed parallel algorithms reduce the execution time and the results obtained by the sequential version were improved.…”
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Data-intensive service deployment based on edge computing by Yongmei GAO, Guanjie CHENG

“…Due to the huge data transmission between service components, a great transmission delay will affect the overall performance of the system. In the edge computing environment, an optimized deployment strategy based on the negative selection algorithm was proposed to reduce the data transmission time in the service composition. …”
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Data-intensive service deployment based on edge computing by Yongmei GAO, Guanjie CHENG

“…Due to the huge data transmission between service components, a great transmission delay will affect the overall performance of the system. In the edge computing environment, an optimized deployment strategy based on the negative selection algorithm was proposed to reduce the data transmission time in the service composition. …”
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HFSA: hybrid feature selection approach to improve medical diagnostic system by Asmaa H. Rabie, Mohammed Aldawsari, Ahmed I. Saleh, M. S. Saraya, Metwally Rashad

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Resource Scheduling with Uncertain Execution Time in Cloud Computing by LI Cheng-yan, CAO Ke-han, FENG Shi-xiang, SUN Wei

“…For the problem of cloud computing resource scheduling, based on the fuzzy programming theory, a fuzzy cloud resource scheduling model under timecost constraint was set up, the uncertain execution time of tasks is represented by the triangular fuzzy number, and the target is to minimize the average value and standard deviation of the evaluation function An improved chaotic ant colony algorithm was proposed to solve the model, the elitist strategy is introduced to optimize the pheromone updating, a chaotic mapping with infinite folding times is used for chaotic search, and the adaptive chaotic disturbance mechanism is designed to enhance the global searching ability The model and algorithm were tested on the Cloudsim platform, the reliability of the model was proved, and the experimental results showed that the proposed algorithm had better performance in convergence speed, solution ability and load balance…”
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CALCULATION OF MATRIX CORRESPONDENCE WITH THE USE OF PARALLEL COMPUTING TECHNOLOGIES by E. E. Ilyasov, A. M. Amirov

“…In this paper, we develop a program for calculating trip distribution using parallel computing technologies. The application of these technologies will improve the efficiency of simulation, increase accuracy and speed of the algorithm.…”
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