Results 121 to 130 of about 1,727,456 (275)

Physics-Based Metaheuristic Optimization Algorithms for Pathfinding

This paper examines the performance of nine physics-based metaheuristic algorithms—Electromagnetism-Like Algorithm (EMLA), Fluid Search Algorithm (FSA), Gravitational Search Algorithm (GSA), and six hybrids (EMLA + FSA, EMLA + GSA, FSA + ELMA, FSA +
Ahmad Sharieh, Tasneem Abu Kabeer, Heba Mosleh   +2 more
core   +1 more source

Eco‐ductile design of RC columns: Resolving the conflict between embodied carbon and curvature ductility

Structural Concrete, EarlyView.
Abstract Reducing embodied carbon emissions in structural design is of critical importance in combating global climate change. However, the increased material usage and heavy confinement reinforcement required to meet high ductility demands in reinforced concrete columns directly conflict with environmental sustainability goals.
Mehmet Kevser Derdiman
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

Surrogate-Assisted Slime Mould Algorithm Considering a Dual-Based Merit Criterion for Global Database Management

Algorithms
Metaheuristic algorithms, including evolutionary approaches, are vital for solving non-trivial and non-convex optimization problems. However, real-world engineering often involves high-dimensional, expensive problems that deteriorate performance due to ...
Pedro Bento, José Pombo, Hugo Nunes, Maria Calado, Sílvio Mariano   +4 more
doaj   +1 more source

Co‐Optimisation of Battery Energy Storage Systems for Voltage Regulation and Reverse Power Flow Control in PV‐Enriched Low Voltage Distribution Network

IET Smart Energy Systems, EarlyView.
A hybrid GA–PSO framework determines the optimal placement and sizing of distributed battery energy storage systems in a PV‐enriched low voltage feeder, whereas dynamic consensus control (DCC) coordinates their operation. The integrated approach mitigates voltage rise and reverse power flow and promotes balanced utilisation of multiple storage units ...
Nirakar Nepal, Raagini Upadhyay, Samvid Neupane, Udghosh Bhandari, Anil Kumar Panjiyar   +4 more
wiley   +1 more source

Metaheuristics in automated machine learning: Strategies for optimization

Intelligent Systems with Applications
The present work explores the application of Automated Machine Learning techniques, particularly on the optimization of Artificial Neural Networks through hyperparameter tuning.
Francesco Zito, El-Ghazali Talbi, Claudia Cavallaro, Vincenzo Cutello, Mario Pavone   +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

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

Applications of metaheuristic optimization algorithms in civil engineering

, 2017
The book presents recently developed efficient metaheuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be used for optimizing problems in mechanical and electrical
Kaveh, A
core   +1 more source

Integrated location–inventory planning for slow‐moving demands with waiting time limitations

International Transactions in Operational Research, EarlyView.
Abstract This paper studies a stochastic facility location problem integrated with inventory and transportation decisions (SFLPIT) for supply chains with slow‐moving stock‐keeping units (SKUs). Local stores often avoid maintaining such SKUs, resulting in customer demand being fulfilled directly by a central distribution center (DC), where the ...
Jie Chu, Fan E, Kai Huang, Yunyang Lu, Majid Taghavi   +4 more
wiley   +1 more source