Special Issues

Keywords: computational geometry; algorithm design and analysis; data structures; discrete geometry; approximation algorithms

(This special issue belongs to the Section Analysis of Algorithms and Complexity Theory)

Keywords: biomedical signal processing; machine learning; wearable devices/computing; medical imaging; contact/contactless monitoring; sensor fusion; health informatics; remote patient monitoring; disease modeling; health data science

(This special issue belongs to the Section Algorithms and Mathematical Models for Computer-Assisted Diagnostic Systems)

Keywords: fault tolerance; algorithms; data structures; fault-tolerant algorithms for distributed systems; coding theory; error-correcting codes; physical redundancy; high-availability systems; resilient networks

(This special issue belongs to the Section Databases and Data Structures)

Keywords: intelligent coordinated algorithms for networked robotic systems; distributed optimization algorithms for networked robotic systems; reinforcement learning algorithms for networked robotic systems; model predictive control algorithms for networked robotic systems; distributed Nash equilibrium seeking for networked robotic systems; cybersecurity and privacy in networked robotic systems; safety-critical control algorithms for networked robotic systems; fault-tolerant control algorithms for networked robotic systems

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: practical decision making; hybrid intelligent algorithms; intelligent computing systems; machine learning and optimization algorithms; metaheuristics; genetic algorithms; simheuristics; and learnheuristics; business applications and industrial applications

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: evolutionary computation; swarm intelligence; natural computation; bioinspired optimization; metaheuristics; NP-hard; NPO; optimization; stochastic algorithms; soft computing; computational intelligence; peak performance; bad-case performance; probabilities in performance of stochastic algorithms; confidence intervals; multiple runs of swarm and evolutionary algorithms

(This special issue belongs to the Section Evolutionary Algorithms and Machine Learning)

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: data science/data mining; clustering; classification; outlier detection; dimensionality reduction; unsupervised learning; supervised learning; nature-inspired algorithms; metaheuristics

(This special issue belongs to the Section Evolutionary Algorithms and Machine Learning)

Keywords: software engineering; algorithms; algorithm engineering; model-checking algorithms; optimization algorithms; genetic algorithms; simulated annealing

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: machine learning; deep learning; computer vision; image processing; object detection; semantic and instance segmentation; image description; medical imaging; remote sensing; machine vision; robot vision; video surveillance; anomaly detection; underwater image enhancement; sonar imaging; thermal imaging; spectra fusion; multi-modal data retrieval; tensor processing; imaging in industry

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: metaheuristic; optimization; evolutionary computation; bio-inspired computation; scheduling; timetabling; facilities layout problem; engineering optimization problems; genetic algorithms; particle swarm optimization; tabu search; simulated annealing; ant colony optimization

(This special issue belongs to the Section Combinatorial Optimization, Graph, and Network Algorithms)

Keywords: machine learning algorithms; deep learning algorithms; re-identification; pattern recognition

(This special issue belongs to the Section Evolutionary Algorithms and Machine Learning)

Keywords: AI; wireless networks; wireless communication

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: multi-objective optimization; multi-level optimization; multi-agent reinforcement learning

(This special issue belongs to the Section Analysis of Algorithms and Complexity Theory)

Keywords: multi-label deep learning architectures; multi-label transformation methods; multi-label adaptation methods; label correlation; multi-label feature representation; multi-label evaluation metrics; multi-label benchmark datasets; multi-label applications to natural language processing; multi-label applications to computer vision; multi-label applications to bioinformatics; multi-label applications to multimedia data; interpretability and explainability of multi-label models

(This special issue belongs to the Section Evolutionary Algorithms and Machine Learning)

Keywords: computer graphics; extended reality; human– computer interaction; digital image processing; computer vision; artificial intelligence; deep learning; machine learning; data synthetization; decision support; productivity 4.0

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: swarm intelligence; evolutionary computation; large-scale optimisation; multi-objective optimisation; complex systems; hybridisation; premature convergence; stagnation; particle swarm optimisation; differential evolutionary; genetic algorithms; dispersive flies optimisation; ant colony optimisation

(This special issue belongs to the Section Evolutionary Algorithms and Machine Learning)

Keywords: edge computing; machine learning; federated learning; real-time data processing; adaptive algorithms; energy-efficient machine learning; privacy and security in edge computing; autonomous decision making

(This special issue belongs to the Section Evolutionary Algorithms and Machine Learning)

Keywords: human-centric data science; healthcare innovation; remote monitoring; predictive analytics; ethical considerations; human– computer interaction; digital health technologies; data quality

(This special issue belongs to the Section Algorithms and Mathematical Models for Computer-Assisted Diagnostic Systems)

Keywords: machine learning algorithms; localization; navigation

(This special issue belongs to the Section Evolutionary Algorithms and Machine Learning)

Keywords: ad hoc; dynamic and evolving networks; algorithms and data structures; algorithms on strings and graphs; algorithms for big data and networks analytics; algorithmic game theory; approximation algorithms; circuits and boolean functions; combinatorial generation; enumeration; and counting; combinatorial optimization; complexity theory; combinatorics of words; computational algebra and geometry; computational biology; cryptography and information security; distributed and parallel algorithms; experimental evaluation of algorithms; fine-grained complexity; foundations of cloud computing; graph algorithms for social network analysis; graph drawing and labelling; graph theory and combinatorics; mobile agents; new paradigms of computation; online algorithms; parameterized and exact algorithms; probabilistic and randomized algorithms; scheduling; streaming algorithms

Keywords: evolutionary computation; swarm intelligence; emerging technologies; AI applications; evolutionary algorithms; swarm optimization; artificial intelligence; large language models; genetic algorithms; machine learning; quantum computing; robotics; autonomous systems; blockchain technology; deep learning; smart grids; renewable energy; 5G networks; autonomous vehicles; medical informatics; computer vision; neural networks; computational biology; computational intelligence

(This special issue belongs to the Section Evolutionary Algorithms and Machine Learning)

Keywords: intelligent algorithms for high-penetration new energy; optimization techniques for renewable energy generation and storage; machine learning algorithms for renewable energy integration and control; data-driven forecasting models for renewable energy sources; intelligent energy management systems for high-penetration new energy; hybrid energy systems and their intelligent control; fault detection and self-healing algorithms for renewable energy systems; cybersecurity and privacy in high-penetration new energy systems

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: deep learning; machine learning; artificial intelligence; data analysis; algorithms; big data

Keywords: numerical analysis; computational mathematics; applied and industrial mathematics; scientific computing and algorithms; approximation; mathematical physics; mathematical chemistry; mathematical biology and mathematical medicine; optimization and operational research; discrete applied mathematics; mathematical modeling; machine learning; neural networks

Keywords: graph neural networks; graph analysis; network science

(This special issue belongs to the Section Combinatorial Optimization, Graph, and Network Algorithms)

Keywords: data-driven modeling; industrial processes; machine learning algorithms; optimization algorithms; adaptive learning

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: biomedical imaging; precision medicine; health informatics; radiomics; machine-learning; deep-learning; clinical decision support systems; explainable artificial intelligence

(This special issue belongs to the Section Algorithms and Mathematical Models for Computer-Assisted Diagnostic Systems)

Keywords: resilience and flexibility in planning and scheduling; multi-objective and multi-criteria optimization algorithms; stochastic; robust; and adaptive optimization algorithms; meta-heuristics and hybrid algorithms for complex problems; distributed and parallel algorithms for large-scale problem scheduling; project planning

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: modeling and simulation; artificial intelligence; machine learning; verification and validation; metamodeling

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: artificial intelligence; metaheuristic algorithm; power conversion; renewable energy systems

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: facility layout optimization; algorithmic advancements; theoretical foundations; practical applications; case studies; interdisciplinary approaches; emerging technologies; artificial intelligence; machine learning; Industry 4.0; Industry 5.0; sustainability; energy efficiency; waste reduction; environmental impact; operational excellence

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: artificial intelligence; computer vision; machine learning; deep learning; metaheuristics and matheuristics; numerical analysis; IoT; sustainability; green energy; power generation systems; forecasting models; environmental issues; embedded algorithms

(This special issue belongs to the Section Evolutionary Algorithms and Machine Learning)

Keywords: simulation methods: discrete event; Monte Carlo simulation; parallel and distributed simulation; agent-based simulation; simulation-optimization; symbiotic simulation; DEVS; cellular automata; lattice-Boltzmann; membrane computing; P-systems; Petri Nets; etc.; simulation packages: widely used frameworks; both commercial and open-source; big data simulation and techniques: big data analysis; big data modeling and processing; simulation performance: GPU-based simulation; simulation in the cloud; scalability; performance analysis; simulation verification; validation; accreditation; and analysis; logistics and production simulation: applications of simulation to optimize supply chain management; warehouse operations; production processes; and overall logistics efficiency; agent-based simulation: modeling complex systems using autonomous agents with specific behaviors and interactions; exploring the dynamics of decentralized decision-making and emergent phenomena; AI and ML in simulation: integration of artificial intelligence and machine learning techniques to enhance simulation models; quality; metrics; and efficiency in applications of IoT and big data; simulation for decision support; hybrid simulation approaches; simulation and simulation tools in manufacturing and Industry 4.0; simulation in smart logistics; project management and construction; simulation in digital twins; quality and performance metrics for simulated systems

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: swarm systems; artificial intelligence; optimization algorithms

(This special issue belongs to the Section Algorithms for Multidisciplinary Applications)

Keywords: optimization; metaheuristics; evolutionary algorithms; neural networks; machine learning