Optimal algorithm

In this study, the objective is to refine the facility layout of a push belt manufacturing plant to decrease potential contract penalty fees that may arise from delays and to diminish the expenses associated with material handling.

8p viling 11-10-2024 3 1   Download

Through the process of analysing related documents and object characteristics in FMCG companies, paper aim to build vehicle roung with me window (CVRTW) model to optimize the delivering process, thus satisfying customer demand. To ensure the quality of the results, the model will be solved using the simulated annealing algorithm (SAalgorithm).

8p vifilm 11-10-2024 1 0   Download

This study aims to empirically verify the real-time responses following long-term optimal charging schedules in experimental conditions. Through empirical testing, this research complements and affirms the practical feasibility aspect of long-term optimal charging schedules for electric two-wheeler charging stations in Vietnam.

9p viengfa 28-10-2024 3 2   Download

In operating the distribution network, the problem of reconfiguration distribution network according to the change of load to reduce power loss has partly reduced the operation cost of the distribution network but it can impact the reliability of power supply to the load.

11p viengfa 28-10-2024 3 2   Download

Accurate daily load forecasting is critical for effective energy management planning. In this study, the article proposes a new method for daily load forecasting that takes advantage of load data and weather data over time in Tien Giang.

10p viengfa 28-10-2024 1 1   Download

This article conducts an exhaustive investigation into the utilization of machine learning (ML) methods for forecasting the maximum load capacity (MLC) of circular reinforced concrete columns (CRCC) using Fiber-Reinforced Polymer (FRP). Extreme Gradient Boosting (XGB) algorithm is combined with novel metaheuristic algorithms, namely Sailfish Optimizer and Aquila Optimizer, to fine-tune its hyperparameters.

18p viengfa 28-10-2024 2 2   Download

Predicting the macroscopic permeability of porous media is critical in various scientific and engineering applications. This study proposes a novel model that combines Random Forest (RF) and rime-ice (RIME) optimization algorithm, denoted RIME-RF-RIME, to predict permeability based on six key features covering fluid phase dimensions, geometric characteristics, surrounding phase permeability, and media porosity.

14p viengfa 28-10-2024 2 2   Download

This study proposes the application of an evolutionary algorithm in optimizing the construction process with Gantt charts to meet the multi-target requirements. The multi-target function is built based on single target criteria and is used as the cost function of the evolutionary algorithm.

11p viengfa 28-10-2024 5 2   Download

This paper introduces the application of the standard Particle Swarm Optimization (PSO) algorithm with discrete integer variables to solve the problem of optimizing the position of tower cranes and material supply points.

10p viengfa 28-10-2024 3 2   Download

This paper presents the results of applying the Artificial Neural Network (ANN) model in determining pile bearing capacity. The traditional methods used to calculate the bearing capacity of piles still have many disadvantages that need to be overcome such as high cost, complicated calculation, time-consuming.

8p viengfa 28-10-2024 3 2   Download

Adaptive Neuro-Based Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) algorithms were utilized to produce numerical tools for predicting the bond strength between the concrete surface and carbon fiber reinforced polymer (CFRP) sheets.

11p viengfa 28-10-2024 3 2   Download

This paper studies on establishing the mathematical optimization formulation to coordinate the operating times of directional overcurrent relays in transmission networks. The objective function of this optimization formulation is to minimize the total operation time of all directional overcurrent relays, and it must satisfy the highly nonlinear constraints such as the time multiplier setting range, the plug setting range, and the coordination time interval between the primary and backup relay pair.

9p viinuzuka 28-02-2025 2 1   Download

Bài viết này đề xuất giải thuật Cuckoo Optimazation Algorithm (COA) đã được đề xuất và áp dụng để giải bài toán tối ưu cực đại lợi nhuận xã hội thông qua xác định vị trí và dung lượng hợp lý của TCSC. Phương pháp đề nghị được kiểm tra trên trên hệ thống IEEE 14 nút và kết quả mô phỏng được so sánh với các giải thuật Genetic Algorithm (GA) Grey Wolf Optimization (GWO) đã cho thấy, COA cũng là một trong những phương pháp hữu ích để tối ưu lắp đặt TCSC để cực đại lợi nhuận xã hội.

14p tunelove 12-06-2021 34 3   Download

Currently, the field of science and technology, particularly Artificial Intelligence (AI), is undergoing significant progress. AI involves the computer-based simulation of human cognitive functions. Within the realm of AI, machine learning, a specialized branch, utilizes mathematical algorithms to enhance computational capabilities.

10p viyamanaka 06-02-2025 4 2   Download

This paper offers a comprehensive explanation of the optimization principle of the standard KA algorithm. It presents an IKA that tackles the deficiencies of the standard algorithm, improving population diversity and convergence speed.

16p viyamanaka 06-02-2025 4 2   Download

This study introduces a practical and efficient methodology to improve the estimation of the ultimate axial bearing capacity of Pre-bored Grouted Planted Nodular (PGPN) piles, addressing a critical need in geotechnical engineering.

25p viyamanaka 06-02-2025 3 2   Download

This paper presents a system that combines torque control algorithms based on a back-propagation neural network (BP-ANN) and an Adaptive Neuro-Fuzzy Inference System (ANFIS). The BP-ANN uses a multi-layer structure where the input layer processes factors such as load torque, rotational speed, and stator current, hidden layers model complex nonlinear interactions, and the output layer predicts optimal torque for AFPMSM operation.

15p viyamanaka 06-02-2025 8 2   Download

This paper presents a method for optimizing the sliding mode control (SMC) parameter for a robot manipulator applying a genetic algorithm (GA). The objective of the SMC is to achieve precise and consistent tracking of the trajectory of the robot manipulator under uncertain and disturbed conditions.

6p vibenya 31-12-2024 11 2   Download

Modern civilization is heavily dependent on energy, which burdens the energy sector. Therefore, a highly accurate energy consumption forecast is essential to provide valuable information for efficient energy distribution and storage. This study proposed a hybrid deep learning model, called I-CNN-JS, by incorporating a jellyfish search (JS) algorithm into an ImageNetwinning convolutional neural network (I-CNN) to predict weekahead energy consumption.

6p vibenya 31-12-2024 7 2   Download

The rapid development of manufacturing sectors in the contemporary Industry 4.0 era has prompted enterprises to adopt increasingly systematic, streamlined, and efficient organizational structures. In this scenario, production scheduling has arisen as an essential function that contributes to the effective allocation of organizational resources in the production process, while shortening production time and satisfying customer deadlines.

6p vibenya 31-12-2024 4 2   Download