Optimization algorithm

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 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

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 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 2 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 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

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 1 0   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

Artificial neural network (ANN), a powerful technique, has been used widely over the last decades in many scientific fields including engineering problems. However, the backpropagation algorithm in ANN is based on a gradient descent approach.

15p vibecca 01-10-2024 2 1   Download

This article provided the enhanced genetic algorithm operators and suggested model formulation that could be applied in other research on traffic signal optimization directly to reduce calculation times and increase the efficiency of the novel suggested models.

13p vibecca 01-10-2024 1 1   Download

Wood, an environmentally friendly construction material, is characterized by a critical attribute that significantly influences its mechanical properties and durability: its moisture absorption behavior. This study expands upon an existing one-dimensional model to develop an innovative two-dimensional numerical framework for simulating moisture propagation within wood.

15p vibecca 01-10-2024 3 0   Download

Recently, the phase field modelling is widely used to model and simulate material damage. In present work, we present a framework of the topology optimization combined with the phase-field modelling with/ without interfacial damage for optimizing the damage resistance of the inclusion-matrix composites.

17p vibecca 01-10-2024 1 1   Download

This study analyzes and optimizes the structural design of three-dimensional (3D) reinforced concrete frame structures to minimize the amount of two main materials, including concrete and steel reinforcement, used in reinforced concrete frames.

16p viyoko 01-10-2024 4 1   Download

This paper proposes a method to identify the optimal operating point fora photovoltaic power system. With theinformation on the power's solar irradiance, the temperature at P-N junction, and the generated power limit, an algorithm is proposed to calculate points on the voltage-power curve based on an utterly mathematical model of the generation, iterative,and bisectional techniques.

5p viyoko 01-10-2024 2 1   Download

The research "Solving constrained optimization tasks in civil engineering using εDifferential Evolution developed with Visual C#. NET" work aims at constructing an evolutionary algorithm based approach for solving complex constrained optimization tasks. The  -Differential Evolution (  -DE) proposed by Takahama, et al. [1], is selected as the employed evolutionary approach. The  -DE has been proven to be capable optimizer for tackling sophisticated problems in various engineering field. In this study, this optimization method is developed in Visual C#.

5p xuanphongdacy09 29-09-2024 1 1   Download

Designing cantilever retaining walls is an important task in various construction projects. The study "Optimizing cantilever retaining wall design using feasibility rule-based evolutionary algorithm developed with Visual C# .NET" aims at constructing an evolutionary-algorithm-based cantilever retaining wall design approach. Differential Evolution (DE) and the feasibility rule-based constraint-handling (FRBCH) method are integrated to achieve the research objective. A DE based software program incorporating FRBCH has been developed with Visual C# .NET to facilitate its implementation.

6p xuanphongdacy09 29-09-2024 3 1   Download

In this paper, an improved version of Differential Evolution algorithm, called iDE, is introduced to solve design optimization problems of composite laminated beams. The beams used in this research are Timoshenko beam models computed based on analytical formula.

11p vifilm 24-09-2024 9 1   Download