Special Issues

Keywords: operations research; vehicle routing problem; arc routing problem

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

Keywords: graph theory; optimization; algebra; uncertainty; data science; differential equations; probability and statistics; numerical algorithms

Keywords: graph theory; algorithms; graph parameters; treewidth; pathwidth; parameterized algorithms; meta-theorems; directed graphs; hypergraphs

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

Keywords: artificial intelligence; machine learning; algorithms; pattern recognition; gesture recognition; behavioral recognition; lightweight neural network; biometrics; image/video processing; audio/speech recognition; computer vision

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

Keywords: time series forecasting algorithms; time series classification algorithms; ARIMA; machine learning algorithms; convolutional neural network; long-short term memory; feature extraction algorithms; noise-reduction algorithms

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

Keywords: complex systems; meta-heuristics; machine learning; deep learning; transfer learning; optimisation; evolutionary algorithms; swarm intelligence; genetic algorithms; mathematical optimization

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

Keywords: applications of virtual and augmented reality environments; artificial intelligence algorithms for virtual and augmented reality; computer vision algorithms for virtual and augmented reality scenarios; interfaces for virtual and augmented reality; sensors for virtual and augmented reality

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

Keywords: artificial intelligence; disease classification and prognosis prediction; deep learning (CNN; RNN; GAN; etc.) in brain– computer interface (BCI) and medical images; radiological image processing (MRI; fMRI; CT scan; PET; ultrasound; X-ray; etc.); clinical data processing (electrocardiography (ECG); electromyography (EMG); electroencephalography (EEG); etc.); data fusion techniques; statistical pattern recognition; advanced artifact reduction; wearable sensors; virtual reality

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

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

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

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: mathematical models in epidemiology and medicine; mathematical models in engineering; applications of linear algebra; iterative methods for nonlinear problems; simulations in civil engineering and railway engineering; networks and applications; financial mathematics; uncertainty quantification and modelling; optimization; least squares and applications; machine learning and neuronal networks; mathematics for decision making

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: 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

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

Keywords: AI; wireless networks; wireless communication

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: 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: 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

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 for Multidisciplinary Applications)

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: 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

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

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