Results 91 to 100 of about 12,107 (234)

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

THE DAWN OF METAHEURISTIC ALGORITHMS

International Journal of Software Engineering and Computer Systems, 2018
Optimization has become such a favored area of research in recent times necessitating the need for technical papers and tutorials that will properly analyze and explain the basics of the field. At the heart of efficiency and effectiveness of optimization of engineering, business and industrial processes is metaheuristics, hence the need for proper ...
openaire   +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

Path Optimization for Cluster Order Picking in Warehouse Robotics Using Hybrid Symbolic Control and Bio-Inspired Metaheuristic Approaches

Biomimetics
In this study, we propose an architectural model for path optimization in cluster order picking within warehouse robotics, utilizing a hybrid approach that combines symbolic control and metaheuristic techniques.
Mete Özbaltan, Serkan Çaşka, Merve Yıldırım, Cihat Şeker, Faruk Emre Aysal, Hazal Su Bıçakcı Yeşilkaya, Murat Demir, Emrah Kuzu   +7 more
doaj   +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

Cyberattack‐Resilient Fractional‐Order PPI Control for Frequency Regulation in PV‐Integrated Power Systems

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Load‐frequency control (LFC) comprises a primary process in interconnected electrical power systems, playing a critical role in maintaining the stability and reliability of the electrical grid. It is of paramount importance that the designed controller functions in an optimal manner, particularly with regard to the compression of area ...
Bora Çavdar, Erdinç Şahin, Fatih Mehmet Nuroğlu   +2 more
wiley   +1 more source

An Effective Hybrid Metaheuristic Approach Based on the Genetic Algorithm

Mathematics
This paper presents an effective hybrid metaheuristic algorithm combining the genetic algorithm (GA) and a simple algorithm based on evolutionary computation.
Olympia Roeva, Dafina Zoteva, Gergana Roeva, Maya Ignatova, Velislava Lyubenova   +4 more
doaj   +1 more source

Hybrid Whale Optimization with a Firefly Algorithm for Function Optimization and Mobile Robot Path Planning

Biomimetics
With the wide application of mobile robots, mobile robot path planning (MRPP) has attracted the attention of scholars, and many metaheuristic algorithms have been used to solve MRPP.
Tao Tian, Zhiwei Liang, Yuanfei Wei, Qifang Luo, Yongquan Zhou   +4 more
doaj   +1 more source

A fast metaheuristic approach for the planar multiple obnoxious facility location problem

International Transactions in Operational Research, EarlyView.
Abstract The multiple obnoxious facility location problem is one of the most studied problems in the literature of the obnoxious facility location problems family. In this work, we propose an alternative algorithmic approach for this problem, based on an efficient metaheuristic procedure over a discretization of the plane based on Voronoi diagrams ...
Sergio Salazar, Abraham Duarte, J. Manuel Colmenar   +2 more
wiley   +1 more source

An effective and efficient matheuristic for the electric vehicle routing problem with capacitated recharging stations

International Transactions in Operational Research, EarlyView.
Abstract In this paper, we address the problem of routing a fleet of electric vehicles (EVs) to serve a set of customers, geographically distributed, within their time windows. We assume that EVs may also be recharged en route, and the amount of energy recharged at a recharging station (RS) is a decision variable itself, that is, partial recharges are ...
Maurizio Bruglieri, Daniele Ferone, Paola Festa, Ornella Pisacane   +3 more
wiley   +1 more source