Metaheuristic Approach

Metaheuristic approaches are computational methods inspired by natural processes, designed to efficiently solve complex optimization problems where traditional techniques fall short. Current research emphasizes improving the rigor and reproducibility of metaheuristic studies, developing frameworks for comparing algorithm performance across diverse problems and metrics (e.g., Hierarchical Rank Aggregation), and exploring novel algorithms inspired by various natural phenomena (e.g., Olive Ridley turtle survival). These advancements are significant because they enhance the reliability and applicability of metaheuristics across diverse fields, from engineering design and machine learning to resource allocation and network optimization.