State-of-the-art review on advancements of data mining in structural health monitoring
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …
statistical methods have been utilized in a remarkable number of structural health monitoring …
Nature-inspired optimization algorithms in solving partial shading problems: a systematic review
Artificial intelligence based maximum power point tracking (MPPT) techniques play an
essential role in improving the efficiency of photovoltaic power conversion systems. Over the …
essential role in improving the efficiency of photovoltaic power conversion systems. Over the …
Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism
X Zhou, H Ma, J Gu, H Chen, W Deng - Engineering Applications of …, 2022 - Elsevier
In this paper, a parameter adaptation-based ant colony optimization (ACO) algorithm based
on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy …
on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy …
A Quantum-inspired Ant Colony Optimization for solving a sustainable four-dimensional traveling salesman problem under type-2 fuzzy variable
M Das, A Roy, S Maity, S Kar - Advanced Engineering Informatics, 2023 - Elsevier
In this paper, a Quantum-inspired Ant Colony Optimization (Qi-ACO) is proposed to solve a
sustainable four-dimensional traveling salesman problem (4DTSP). In 4DTSP, various paths …
sustainable four-dimensional traveling salesman problem (4DTSP). In 4DTSP, various paths …
A cooperative strategy for optimizing vehicle relocations and staff movements in cities where several carsharing companies operate simultaneously
X Chang, J Wu, GH de Almeida Correia, H Sun… - … Research Part E …, 2022 - Elsevier
Carsharing has become a popular travel mode owing to its convenience of use, easy
parking, and low cost of using a car by those who only need it occasionally. However …
parking, and low cost of using a car by those who only need it occasionally. However …
Deep learning-based computer-aided diagnosis (cad): applications for medical image datasets
Computer-aided diagnosis (CAD) has proved to be an effective and accurate method for
diagnostic prediction over the years. This article focuses on the development of an …
diagnostic prediction over the years. This article focuses on the development of an …
Rank-based ant system with originality reinforcement and pheromone smoothing
Abstract Ant Colony Optimization (ACO) encompasses a family of metaheuristics inspired by
the foraging behaviour of ants. Since the introduction of the first ACO algorithm, called Ant …
the foraging behaviour of ants. Since the introduction of the first ACO algorithm, called Ant …
Nature-Inspired Heuristic Frameworks Trends in Solving Multi-objective Engineering Optimization Problems
Nowadays, nature-inspired artificial intelligent metaheuristic optimization algorithms
(MHOAs) have gained many attentions from researchers all over the world due to their …
(MHOAs) have gained many attentions from researchers all over the world due to their …
An elastic framework construction method based on task migration in edge computing
Y Pu, Z Li, J Yu, L Lu, B Guo - Software: Practice and …, 2024 - Wiley Online Library
Edge computing (EC) serves as an effective technology, empowering end‐users to attain
high bandwidth and low latency by offloading tasks with high computational demands from …
high bandwidth and low latency by offloading tasks with high computational demands from …
Power line routing design by GIS-driven fuzzy traveling salesman problem-binary integer programming for green energy integration
In response to the obstacles posed by finite resources and environmental issues, Sarawak
has transitioned its focus towards sustainable and green energy to establish a resilient and …
has transitioned its focus towards sustainable and green energy to establish a resilient and …