Guest Editors
Prof. Mohammad Shokouhifar, Shahid Beheshti University, Iran
Prof. Frank Werner, Otto-Von-Guericke-University, Germany
Summary
The exploration of optimization problems spans numerous scientific and engineering domains, sparking a growing need for refined optimization techniques. While exact search methods consistently yield the optimal solution, their feasibility diminishes when tackling real-world NP-complete/hard problems due to time constraints. This emphasizes the significance of metaheuristic algorithms that offer near-optimal solutions within a reasonable timeframe while maintaining a beneficial balance between complexity and efficiency. One primary advantage of metaheuristics is their adaptability as general-purpose, problem-independent algorithms. Unlike exact algorithms, metaheuristics depend less on mathematical models and thrive on the "trial-and-error" principle in searching for optimal solutions, excelling in evading local optima across various problems.
This Special Issue invites academia and industry experts to showcase the latest advancements in metaheuristic algorithms and their practical applications in solving real-world optimization problems across various engineering fields including computer, electrical, mechanical, chemical, biomedical, civil, and industrial engineering. Potential topics include, but are not restricted to:
Development of new single-solution metaheuristic algorithms
Advancements in population-based metaheuristic algorithms
Evolution of multi-objective metaheuristic algorithms
Ensemble knowledge-based heuristic-metaheuristic algorithms
Fusion of fuzzy systems and metaheuristics for optimization
Hybridization of machine learning and metaheuristics for optimization
Metaheuristic-driven heuristics tailored for Just-in-Time (JIT) optimization
Applications in signal, image, and video processing
Applications in healthcare big data analytics
Applications in scheduling and resource allocation problems
Applications in optimal design of renewable energy systems
Applications in smart manufacturing and supply chain logistics
Applications in business intelligence and financial management
Applications in Internet-of-Things (IoT) and smart cities
Applications in computer and communication networks
Keywords
Optimization, Engineering Problems, Metaheuristics, Evolutionary Algorithms, Swarm Intelligence, Multi-Objective Optimization, Ensemble Metaheuristic Algorithms
Published Papers
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