Submission Deadline: 31 October 2025 View: 126 Submit to Special Issue
Dr. Fábio Rúben Silva Mendonça
Email: fabioruben@staff.uma.pt
Affiliation: Interactive Technologies Institute (ITI/Larsys), ARDITI, and FCEE, University of Madeira, Funchal, 9000-082, Portugal
Research Interests: artificial intelligence, metaheuristic optimization processes, algorithm analysis, improvement, large-scale and high-dimensional optimization
Prof. Fernando Manuel Rosmaninho Morgado Ferrão Dias
Email: morgado@staff.uma.pt
Affiliation: Interactive Technologies Institute (ITI/Larsys), ARDITI, and FCEE, University of Madeira, Funchal, 9000-082, Portugal
Research Interests: artificial intelligence, sleep monitoring, renewable energy, FPGA implementations
Dr. Sheikh Shanawaz Mostafa
Email: sheikh.mostafa@tecnico.ulisboa.pt
Affiliation: Interactive Technologies Institute (ITI/Larsys), ARDITI, Funchal, 9020-105, Portugal
Research Interests: artificial intelligence, machine learning, time-series forecasting
Mr. Diogo Nuno Freitas
Email: diogo.freitas@staff.uma.pt
Affiliation: Interactive Technologies Institute (ITI/LARSyS), NOVA-LINCS, University of Madeira, Funchal, 9020-105, Portugal
Research Interests: evolutionary computation; intelligent systems; machine learning; mathematical modeling
The field of nature-inspired and metaheuristic optimization algorithms represents an evolving area of research due to its capacity to provide effective solutions for complex optimization problems across numerous domains. This special issue aims to consolidate and disseminate recent progress in this field.
More specifically, this special issue intends to highlight the latest theoretical developments, innovative applications, and emerging trends in nature-inspired and metaheuristic optimization algorithms. It seeks contributions that present novel algorithmic frameworks, rigorous theoretical analyses concerning convergence and complexity, practical implementations addressing real-world challenges, and insightful perspectives on future research directions. The scope includes but is not limited to, evolutionary computation, swarm intelligence, physics-based and bio-inspired algorithms, and hybrid optimization methodologies. The special issue welcomes submissions that explore the application of these techniques in diverse fields such as engineering, computer science, materials science, and operations research.
Suggested themes for this special issue include:
· Development of nature-inspired and metaheuristic optimization algorithms.
· Theoretical investigations into the properties and performance of metaheuristics.
· Hybridization and integration of different optimization paradigms.
· Application of metaheuristics to large-scale and computationally intensive problems.
· Real-world case studies and innovative applications of nature-inspired optimization.
· Emerging trends and future directions in metaheuristic optimization research.
· Performance analysis and comparative studies of optimization algorithms.
Login
Register
Submit a Paper
Propose a Special lssue