[HTML][HTML] A review of metaheuristic algorithms for solving TSP-based scheduling optimization problems

B Toaza, D Esztergár-Kiss - Applied Soft Computing, 2023 - Elsevier
Activity-based scheduling optimization is a combinatorial problem built on the traveling
salesman problem intending to optimize people schedules considering their trips and the …

A survey of energy-efficient clustering routing protocols for wireless sensor networks based on metaheuristic approaches

C Del-Valle-Soto, A Rodríguez… - Artificial Intelligence …, 2023 - Springer
The increase in proposed clustering routing protocols for Wireless Sensor Networks has
motivated the development of survey studies that provide quick access to clear and …

Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement

BJ Ma, JLJ Pereira, D Oliva, S Liu, YH Kuo - Knowledge-Based Systems, 2023 - Elsevier
Image processing is an evolving field that calls for more powerful techniques to extract
useful information from images. In particular, image segmentation is a preprocessing step …

A multi-objective linear programming model for scheduling part families and designing a group layout in cellular manufacturing systems

R Motahari, Z Alavifar, AZ Andaryan, M Chipulu… - Computers & Operations …, 2023 - Elsevier
Different industries compete to attract customers in different ways. In the field of production,
group technology (GT) is defined by identifying and grouping similar parts based on their …

[HTML][HTML] Spatial modeling of geogenic indoor radon distribution in Chungcheongnam-do, South Korea using enhanced machine learning algorithms

F Rezaie, M Panahi, SM Bateni, S Kim, J Lee… - Environment …, 2023 - Elsevier
Prolonged inhalation of indoor radon and its progenies lead to severe health problems for
housing occupants; therefore, housing developments in radon-prone areas are of great …

[HTML][HTML] A two-stage stochastic model for a multi-objective blood platelet supply chain network design problem incorporating frozen platelets

TY Suen, X Song, D Jones - Computers & Industrial Engineering, 2023 - Elsevier
Platelet supply chain (PLT SC) management is always a challenging task for healthcare
systems due to the nature of platelets (PLTs). PLTs have an extremely short shelf life and …

Fault diagnosis of photovoltaic systems using artificial intelligence: A bibliometric approach

EH Sepúlveda-Oviedo, L Travé-Massuyès, A Subias… - Heliyon, 2023 - cell.com
Conventional fault detection methods in photovoltaic systems face limitations when dealing
with emerging monitoring systems that produce vast amounts of high-dimensional data …

[HTML][HTML] Optimal planning of renewable energy park for green hydrogen production using detailed cost and efficiency curves of PEM electrolyzer

Y Astriani, W Tushar, M Nadarajah - International Journal of Hydrogen …, 2024 - Elsevier
Installing multi-renewable energy (RE) power plants at designated locations, known as RE
parks, is a promising solution to address their intermittent power. This research focuses on …

Optimal Control Method of Semi-Active Suspension System and Processor-in-the-Loop Verification

T Ergin, MÖ Yatak - Applied Sciences, 2023 - mdpi.com
Featured Application An implementation of PID controller optimized with PSO to improve the
road holding and ride comfort simultaneously on a real suspension test setup was proposed …

[HTML][HTML] Autonomous interval management of multi-aircraft based on multi-agent reinforcement learning considering fuel consumption

J Yuan, Y Pei, Y Xu, Y Ge, Z Wei - Transportation Research Part C …, 2024 - Elsevier
Real-time autonomous interval management in multi-aircraft operational scenarios
addresses safety, efficiency, and economic issues in air transportation. This study proposes …