Results 81 to 90 of about 12,030 (235)

Metaheuristic Algorithms Based PID Controller Tuning Approach for Inverted Pendulum System

Van Yüzüncü Yıl Üniversitesi Mühendislik Fakültesi Dergisi, 2023
Proportional, integral, derivative (PID) controllers, also known as proportional integral derivative controllers, are frequently used to regulate system outputs. PID parameter settings have a significant impact on system performance.
Ahmet Sadık Duru
doaj  

M3RS: Multi‐Robot, Multi‐Objective, and Multi‐Mode Routing and Scheduling

Journal of Field Robotics, EarlyView.
ABSTRACT Task execution quality significantly impacts multi‐robot missions, yet existing task allocation frameworks rarely consider quality of service as a decision variable, despite its importance in applications like robotic disinfection and cleaning. We introduce the multi‐robot, multi‐objective, and multi‐mode routing and scheduling (M3RS) problem,
Ishaan Mehta, Junseo Kim, Sharareh Taghipour, Sajad Saeedi   +3 more
wiley   +1 more source

A comprehensive review of metaheuristic algorithms for mobile robot path planning

Applied Computer Science
Path planning and optimization are essential topics in robotics because they directly affect the effectiveness and safety of robot navigation. The application of metaheuristic methods and algorithms in the field of robot motion planning has attracted ...
Sheren SADIQ, Araz ABRAHIM, Haval SADEEQ
doaj   +1 more source

Metaheuristic Optimization of Fractional Order Incremental Conductance (FO-INC) Maximum Power Point Tracking (MPPT)

Complexity, 2019
This paper seeks to improve the photovoltaic (PV) system efficiency using metaheuristic, optimized fractional order incremental conductance (FO-INC) control.
Hossam Hassan Ammar, Ahmad Taher Azar, Raafat Shalaby, M. I. Mahmoud   +3 more
doaj   +1 more source

The Integration of AI, Blockchain and IoT for the Sustainable Development of the Logistics Service Industry: Insights From a PRISMA‐Based Analysis

Sustainable Development, EarlyView.
ABSTRACT This study presents an analysis of the literature on artificial intelligence (AI), blockchain and internet of things (IoT) for the sustainable development of the service industry of freight transport and logistics service providers (LSPs).
Roberto Cerchione, Renato Passaro, Matteo Tavano   +2 more
wiley   +1 more source

Explainable artificial intelligence (XAI)‐powered design framework for lightweight strain‐hardening ultra‐high‐performance composites (SH‐UHPC)

Structural Concrete, EarlyView.
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

Optimization of Soft Actuator Geometry and Material Modeling Using Metaheuristic Algorithms

Actuators
The geometry of soft actuators significantly impacts their performance, including force generation, range of motion, and adaptability. Optimizing actuator geometry and material properties under specific constraints is crucial for achieving desired ...
Mohamed Slim, Nizar Rokbani, Mohamed Ali Terres, Eric Watelain, Mohamed Moncef Ben Khelifa   +4 more
doaj   +1 more source

AGPLO‐Driven Optimisation for Accurate Segmentation of Papillary Thyroid Carcinoma in Medical Imaging

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Papillary Thyroid Carcinoma (PTC) is the most prevalent thyroid malignancy, and accurate lesion segmentation is essential for clinical diagnosis and treatment planning. Metaheuristic optimisation algorithms have been widely used in Multi‐Threshold Image Segmentation (MTIS), but many existing methods suffer from an imbalance between global ...
Jing Ruan, Xiaoxiao Chen, Hanbing Yao, Yujia Xu, Shiqi Xu, Shihao Zhao, Yulun Wu, Yingting Dai, Yubing Chen, Shuqing Ma, Qiongying Zhang, Ying Zhou, Ali Asghar Heidari, Huiling Chen, Yangping Shentu   +14 more
wiley   +1 more source

Multi‐Strategy Synergy‐Based Differential Evolution for Large Wind Farm Layout Optimization

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Exploring clean energy alternatives to fossil fuels has become a major research focus worldwide. Wind energy is regarded as one of the most promising renewable energy sources due to its clean and sustainable nature. However, wake interactions among turbines significantly reduce power conversion efficiency, making wind farm layout optimization (
Haotian Li, Yifei Yang, Qiong Fu, Zhenyu Lei, Zhe Xu, Shangce Gao   +5 more
wiley   +1 more source