Network Optimization Problem Applicable for Breast Cancer Screening Cost Minimization (2025)

Studia Universitatis Babeș-Bolyai Informatica Authors Attila Mester, A. Andreica Abstract We investigate the problem of breast cancer screening optimization, using various techniques applicable in domains where the data format is not defined in advance. The aim is to minimize the cost related to the screening of patients while maximizing the beneficial effect of the…

Hybrid Adaptive Greedy Algorithm Addressing the Multi-Robot Path Planning Problem (2025)

IEEE Latin America Transactions Authors Anikó Kopacz, Enol García González, Camelia Chira, José Ramón Villar Flecha Abstract In the past few years, path planning and scheduling became a high-impact research topic due to their real-world applications such as transportation, manufacturing and robotics. This paper focuses on the Multi-robot Path Planning (MPP) problem, which consists…

A Hybrid Granular Ball-Ant Colony Optimization for the Multi-Depot Half-Open Time-Dependent Electric Vehicle Routing Problem (2025)

IEEE Congress on Evolutionary Computation Authors Yingkai Xu, Anikó Kopacz, Camelia Chira Abstract Electric vehicles (EVs) are increasingly utilized in logistics and distribution to expedite achieving carbon peaking and neutrality goals, drawing considerable attention to the Electric Vehicle Routing Problem (EVRP). This study investigates the Multi-Depot Half-Open Time-Dependent Electric Vehicle Routing Problem (MDHOTDEVRP) and…

Preprocessing Techniques for Optimizing Mammograms Segmentation: a Cellular Automaton Approach (2025)

Procedia Computer Science Authors Iulia-Andreea Ion, Cristiana Moroz-Dubenco, A. Andreica Abstract Breast cancer is the most commonly diagnosed cancer among women worldwide, with early detection playing an essential role in improving survival rates. Detection of breast abnormalities at an early stage is best performed using mammography. This paper presents a new approach integrating advanced…

Multiple Crack Detection in Beam-Like Structures Using a Novel Particle Swarm Optimization Approach (2025)

International Conference on Agents and Artificial Intelligence Authors Flaviu-Catalin Florea, H. Greblă, Gilbert-Rainer Gillich, B. Bindea, C. Rusu Abstract This paper presents a method for assessing two cracks in simply supported beams by identifying their locations and severities (depths). Our method is based on applying the Particle Swarm Optimization (PSO) algorithm with the measured…

Malicious Web Links Detection Based on Image Processing and Deep Learning Models (2024)

2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) Authors C. Coste Abstract The latest improvements regarding the online world have come with great benefits, but, as well as dangerous drawbacks (i.e., web-malware). This article proposes to investigate the reliability and accuracy of a novel web-malware detection method by using images…

Generating random complex networks with network motifs using evolutionary algorithm-based null model (2024)

Swarm and Evolutionary Computation Authors B. Mursa, A. Andreica Abstract Network motifs in complex networks signify critical patterns of connections essential for deciphering system dynamics. Identifying and understanding these rare and elusive motifs is crucial for analyzing complex network behaviors. Our previous research has established a significant positive correlation between the occurrence of motifs…

Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments (2023)

Soft Computing Models in Industrial and Environmental Applications Authors Enol García González, J. Villar, Camelia Chira, E. D. L. Cal, Luciano Sánchez, J. Sedano Abstract Today, robots can be found in almost any field. Examples include robots for transporting materials in hospitals and warehouses, surveillance, intelligent laboratories and space exploration. Whatever the reason for…

Assessment of cracks in beams using changes in the measured frequencies and Particle Swarm Optimization (2023)

Vibroengineering PROCEDIA Authors H. Greblă, Vasile Cătălin Rusu, Gilbert-Rainer Gillich, Thu Hang Bui Abstract This paper presents a method for detecting a crack in simply supported beams by identifying its location and severity (depth). The method is based on the measured natural frequencies for several bending vibration modes of an intact and cracked beam…