Optimal algorithm

This paper presents optimization results of the Al6061 surface roughness in turning ultra-precision based on the central composite design method (CCD) and the grey wolf optimization algorithm (GWO). The experimental matrix is built with three independent variables including spindle speed, feed rate and depth of cut. With the experimental data, the roughness regression model is established.

7p viaburame 14-03-2025 3 1   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 33 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 2 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 2 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 5 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 9 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 6 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 3 2   Download

This review explores recent ML advancements in assessing corrosion in RC structures. Various algorithms, such as Artificial Neural Networks (ANNs), Gene Expression Programming (GEP), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM) and Ensemble Learning, have shown potential in estimating corrosion processes, predicting material properties, and evaluating structural durability.

7p vibenya 31-12-2024 5 2   Download

This article focuses on optimizing profitability in the manufacturing sector by integrating critical elements such as production, pricing, resource allocation, and cost analysis. Through preliminary steps, the article proposes a complex mathematical model to maximize profit by making intelligent decisions regarding production and pricing.

15p viprimi 16-12-2024 3 1   Download

Bài giảng "Tính toán tiến hóa: Bài 9 - Multi-objective optimization" được biên soạn với các nội dung chính sau: Tối ưu đa mục tiêu; A multi-objective evolutionary algorithm based on decomposition. Mời các bạn cùng tham khảo bài giảng!

30p kimphuong1001 11-02-2023 13 3   Download

In line with that research trend, this paper proposes a hybrid algorithm combining particle swarm optimization with the simulated annealing technique (PSO-SA) to optimize the length of intervals to improve forecasting accuracies.

19p vimurdoch 18-09-2023 13 4   Download

Model Predictive Control (MPC) refers to a class of algorithms that optimize the future behavior of the plant subject to operational constraints. The merits of the class algorithms include its ability to handle imposed hard constraints on the system and perform on-line optimization. This thesis investigates design and implementation of continuous time model predictive control using Laguerre polynomials and extends the design approaches proposed in to include intermittent predictive control, as well as to include the case of the nonlinear predictive control.

162p runthenight07 01-03-2023 10 4   Download

The main focus of this thesis is on the application of a model predictive control (MPC) method to devise an ABS for a BBW vehicle. Unlike the traditional ABS control algorithms which are based on a trial and error method, the MPC based ABS algorithm aims to utilizes the behaviour of the model to optimize the wheel slip dynamics subject to system constraints. Performance of the proposed wheel slip controller is validated through Software-in-the-Loop (SiL) and Hardware-inthe-Loop (HiL) simulation.

136p runthenight07 01-03-2023 10 3   Download

The study "Multi-objective solar building envelope design optimization" includes four main objectives: 1 - To explore the components of a building envelope design optimization framework that would be developed for the conceptual building design phase; 2 - To establish an optimization process for different BIPV application types; 3 - To investigate the optimization algorithms and methods that could be used to optimize building envelope design for BIPV; 4 - To develop and validate an optimization framework to integrate BIPV into the building structure.

158p runthenight04 02-02-2023 8 2   Download

The research has designed a novel active truck seat suspension system for a further study of active vibration control. A 5-degree-of-freedom driver and seating suspension system model for active vibration control has been developed. A novel fast system parameter identification method from vibration measurement data has been proposed for the seat-occupant system based on the multi-objective Genetic Algorithm optimization (GA).

206p runthenight04 02-02-2023 13 5   Download

Goals of the dissertation: This thesis focuses on studying and developing meta-heuristic optimization methods and combines them with the Artificial Neural Network, which has advantages in approximating data, to build up a new algorithm for solving composite material structural optimization problems.

136p monsterhunterer 20-06-2021 11 3   Download

In this research, the isogeometric finite element method is used to discretise the displacement domain of strutures in the first step. The primal-dual algorithm based upon the von Mises yield criterion and a Newton-like iteration is used in the second step to solve optimization problem.

157p capheviahe28 01-03-2021 9 3   Download