Implementation of the methodology for calculation of the three-phase equilibrium of hydrocarbons and the aqueous phase by Oleg Aksenov, Mikhail Kozlov, Eduard Usov, Dmitry Taylakov, Nikita Kayurov, Alexander Cheremisin

“…The numerical schemes for the phase stability test and the calculation of equilibrium compositions are described, and the general equilibrium search algorithm is given. To test the algorithm, simulations of different mixtures are done and phase diagrams are presented for several mixtures. …”
Get full text

An Interval Integrated Optimization to Air-Cargo Hub Network Design and Airline Fleet Planning by Yu Wang, Tao Zhu, Kaibo Yuan, Peiwen Zhang, Zhe Liang, Jinfu Zhu

“…The computational time of the proposed algorithm is reduced by 28.4% and 36.5%, respectively, when compared to the use of Genetic Algorithm (GA) and Variable Neighborhood Search (VNS) algorithm.…”
Get full text

Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs by Watheq J. Al-Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

“…To enhance the ML performance, two search algorithms (random search and Bayesian optimization) are compared in their ability to tune the ML hyperparameters. …”
Get full text

EDECO: An Enhanced Educational Competition Optimizer for Numerical Optimization Problems by Wenkai Tang, Shangqing Shi, Zengtong Lu, Mengying Lin, Hao Cheng

“…The results show that EDECO indeed achieves significant improvements compared to the basic ECO and other compared algorithms, and performs noticeably better than its competitors. …”
Get full text

A Study on Fitting Longitudinal Profiles of Railway Station Tracks by Junhao Zeng, Lianbo Deng, Wenqin Deng, Jinglan Jiang, Yuantian Huang

“…To satisfy the model constraints, an optimal vertical curve fitting algorithm, utilising a bisector vector approach to unambiguously resolve the conjugacy issue in analytical circular curve calculations, and a genetic algorithm based on neighbourhood search, specifically designed to fine-tune initial least squares gradient estimates and avoid systematic deviations, are proposed. …”
Get full text

Seeking Mechanism Improvement of Optimum Prices for New Services in Long-Distance Trains through Use of Nonlinear-in-the-Parameter Analysis Models of Price Elasticity of Demand by S. S. Pastukhov

“…On the basis of the obtained results of the economic and mathematical models operation with the marketing information array there were investigated usage pattern and comparative performance of various type application-specific search algorithms of optimum parameters for the selected in the course of the investigation nonlinear model types while engaged in analyzing price elasticity of demand in the light of its specific character in the passenger railway transport environment.…”
Get full text

Optimizing Artificial Neural Networks Using Mountain Gazelle Optimizer by Muhammed Abdulhamid Karabiyik, Bahaeddin Turkoglu, Tunc Asuroglu

“…The performance of the MGO-based neural network optimizer was compared with traditional backpropagation and several state-of-the-art optimization algorithms. …”
Get full text

WSNs data acquisition by combining expected network coverage and clustered compressed sensing. by Zhouzhou Liu, Yangmei Zhang, Yang Bi, Jingxuan Wang, Yuanyuan Hou, Chao Liu, Guangyi Jiang, Shan Li

“…Finally, the sparrow search algorithm is employed to enhance the accuracy of CS data reconstruction at the cluster head. …”
Get full text

Parameterized Hardware Design on Reconfigurable Computers: An Image Processing Case Study by Miaoqing Huang, Olivier Serres, Tarek El-Ghazawi, Gregory Newby

“…On the other hand, an application such as edge detection can directly read data through the interconnect in a sequential fashion. Two different algorithms of image registration, the exhaustive search algorithm and the Discrete Wavelet Transform (DWT)-based search algorithm, are implemented on hardware, i.e., Xilinx Vertex-IIPro 50 on the Cray XD1 reconfigurable computer. …”
Get full text

Evolutionary Dendritic Neural Model for Classification Problems by Xiaoxiao Qian, Cheng Tang, Yuki Todo, Qiuzhen Lin, Junkai Ji

“…Distinct from the classical dendritic neuron model (CDNM) trained by the backpropagation (BP) algorithm, the proposed EDNM is trained by a metaheuristic cuckoo search (CS) algorithm instead, which has been regarded as a global searching algorithm. …”
Get full text

An Enhanced Comprehensive Learning Particle Swarm Optimizer with the Elite-Based Dominance Scheme by Chengcheng Chen, Xianchang Wang, Helong Yu, Nannan Zhao, Mingjing Wang, Huiling Chen

“…The new variant is compared with 15 representative and advanced algorithms on IEEE CEC2017 benchmarks. …”
Get full text

Multi-Scenario Robust Distributed Permutation Flow Shop Scheduling Based on DDQN by Shilong Guo, Ming Chen

“…After 2000 iterations, the DDQN algorithm achieves a 15% reduction in makespan with only a 2.5% increase in computational time compared to random search, this joint simulation system offers an efficient and stable solution for the modeling and optimization of the MSRDPFSP issue.…”
Get full text

Receding Horizon Control with Extended Solution for UAV Path Planning by Xiaoyu Ma, Shaofei Zang, Xinghai Li, Jianwei Ma

“…This method first designs the path expansion mechanism, which not only expands the search range of feasible solutions but also ensures the real-time performance by the two-way search strategy. …”
Get full text

The role of neural artificial intelligence for diagnosis and treatment planning in endodontics: A qualitative review by Ashwaq F. Asiri, Ahmed Sulaiman Altuwalah

“…Methods: The present research question focused on the literature search about different AI algorithms and models of AI assisted endodontic diagnosis and treatment planning. …”
Get full text

Indoor Positioning System based on SSA-ELM Neural Network for Visible Light by JIA Kejun, NIU Zhen, YU Kai, ZHANG Zhicong, PENG Duo, CAO Minghua

“…In this paper, a Sparrow Search Algorithm (SSA)-ELM neural network algorithm was proposed by introducing the SSA to determine the initial weights and thresholds of the ELM neural network.…”
Get full text

An Evaluation of the Use of Simulated Annealing to Optimize Thinning Rates for Single Even-Aged Stands by Kai Moriguchi, Tatsuhito Ueki, Masashi Saito

“…The best parameters for the simulated annealing were chosen from 113 patterns, using the mean of the net present value from 39 runs to ensure the best performance. We compared the solutions with those from coarse full enumeration to evaluate the method’s reliability and with 39 runs of random search to evaluate its efficiency. …”
Get full text

Research on Path Planning of Agricultural UAV Based on Improved Deep Reinforcement Learning by Haitao Fu, Zheng Li, Weijian Zhang, Yuxuan Feng, Li Zhu, Xu Fang, Jian Li

“…The repeat coverage rate for BL-DQN was 5.56%, which is lower than the 9.78% achieved by the DQN algorithm and the 31.29% of the Depth-First Search (DFS) algorithm. …”
Get full text

Detection of Emulation Attacks in Cognitive Radio Networks using Heuristic Techniques by Jabbar Mahmood, Rahim Ali Qamar, Shahzad Latif

“…Differential evolution (DE) and cuckoo search (CS) algorithms are utilized to optimize detection accuracy. …”
Get full text

Path Planning of Mobile Robots with an Improved Grey Wolf Optimizer and Dynamic Window Approach by Wenwei Chen, Lisang Liu, Liwei Zhang, Zhihui Lin, Jian Chen, Dongwei He

“…Secondly, the linear convergence factor is modified to a nonlinear one to balance the algorithm’s global and local search capabilities. Thirdly, Evolutionary Population Dynamics (EPD) is incorporated to enhance the algorithm’s ability to escape local optima, and dynamic weights are used to improve convergence speed and accuracy. …”
Get full text

Optimization strategies for public health education based on ISSA and information system technology by Zhanyu Ye, Yifei Li, Yan Zhang

“…Combined with information system technology, a public health education information platform is proposed to optimize public health education.ResultsThe experiment findings denoted that the improved sparrow search algorithm had a significantly better average fitness value than other compared algorithms after 500 iterations, with an accuracy of 92.4% and an area under the PR curve of 0.84. …”
Get full text