Results 31 to 40 of about 920 (162)

Concrete Multi-Type Defect Classification Algorithm Based on MSSMA-SVM

Sensors, 2022
In order to realize the automatic classification of internal defects for non-contact nondestructive testing of concrete, a concrete multi-type defect classification algorithm based on the mixed strategy slime mold algorithm support vector machine (MSSMA ...
Xu Tian, Jun Ao, Zizhu Ma, Bijian Jian, Chunbo Ma   +4 more
doaj   +1 more source

A Two-Way Parallel Slime Mold Algorithm by Flow and Distance for the Travelling Salesman Problem

Applied Sciences, 2020
In order to solve the problem of poor local optimization of the Slime Mold Algorithm (SMA) in the Travelling Salesman Problem (TSP), a Two-way Parallel Slime Mold Algorithm by Flow and Distance (TPSMA) is proposed in this paper. Firstly, the flow between
Meijiao Liu, Yanhui Li, Qi Huo, Ang Li, Mingchao Zhu, Nan Qu, Liheng Chen, Mingyi Xia   +7 more
doaj   +1 more source

Utilizing artificial intelligence to solving time – cost – quality trade-off problem

Scientific Reports, 2022
This study presents the Slime Mold Algorithm (SMA) to solve the time—cost—quality trade-off problem in a construction project. The proposed SMA is a flexible and efficient algorithm in exploration and exploitation to reach the best optimal solution to ...
Pham Vu Hong Son, Luu Ngoc Quynh Khoi
doaj   +1 more source

Fine-Tuning of Pre-Trained Deep Face Sketch Models Using Smart Switching Slime Mold Algorithm

Applied Sciences, 2023
There are many pre-trained deep learning-based face recognition models developed in the literature, such as FaceNet, ArcFace, VGG-Face, and DeepFace.
Khaled Mohammad Alhashash, Hussein Samma, Shahrel Azmin Suandi   +2 more
doaj   +1 more source

Modeling and Optimization of Triple Diode Model of Dye-Sensitized Solar Panel Using Heterogeneous Marine Predators Algorithm

Mathematics, 2022
The reliable mathematical model construction of dye-sensitized solar cells (DSSCs) using the triple-diode model (TDM) is proposed but it is a challenge due to its complexity.
Alaa A. Zaky, Hesham Alhumade, Dalia Yousri, Ahmed Fathy, Hegazy Rezk, Lida Givalou, Polycarpos Falaras   +6 more
doaj   +1 more source

Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm

Mathematics, 2022
This paper introduces a novel physical-inspired metaheuristic algorithm called “Light Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the proposed algorithm is the light dispersions with different angles while passing ...
Mohamed Abdel-Basset, Reda Mohamed, Karam M. Sallam, Ripon K. Chakrabortty   +3 more
doaj   +1 more source

Estimating the Concrete Ultimate Strength Using a Hybridized Neural Machine Learning

Buildings, 2023
Concrete is a highly regarded construction material due to many advantages such as versatility, durability, fire resistance, and strength. Hence, having a prediction of the compressive strength of concrete (CSC) can be highly beneficial.
Ziwei Zhang
doaj   +1 more source

Corrections to “A Slime Mold-Ant Colony Fusion Algorithm for Solving Traveling Salesman Problem”

IEEE Access, 2021
In the above article [1], the order of the institution signature 2 and 3 is changed, and the superscript of the author is updated. The institution signature 2 in [1] is changed as the institution signature 3, the institution signature 3 in [1] is changed
Meijiao Liu, Yanhui Li, Ang Li, Qi Huo, Ning Zhang, Nan Qu, Mingchao Zhu, Liheng Chen   +7 more
doaj   +1 more source

Optimization of Construction Projects Time-Cost-Quality-Environment Trade-off Problem Using Adaptive Selection Slime Mold Algorithm [PDF]

Journal of Soft Computing in Civil Engineering
In order to address optimization problems, artificial intelligence (AI) is employed in the construction industry, which aids in the growth and popularization of AI.
Pham Vu Hong Son, Luu Ngoc Quynh Khoi
doaj   +1 more source

Hybrid Technique to Improve the River Water Level Forecasting Using Artificial Neural Network-Based Marine Predators Algorithm

Advances in Civil Engineering, 2022
Water level (WL) forecasting has become a difficult undertaking due to spatiotemporal fluctuations in climatic factors and complex physical processes. This paper proposes a novel hybrid machine learning model based on an artificial neural network (ANN ...
Sarah J. Mohammed, Salah L. Zubaidi, Nadhir Al-Ansari, Hussein Mohammed Ridha, Nabeel Saleem Saad Al-Bdairi   +4 more
doaj   +1 more source