The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …

This study presents an extensive analysis of ten emerging swarm intelligence metaheuristic
techniques, namely Emperor Penguins Colony (EPC), Harris Hawks Optimizer (HHO) …

The present work aims to explore the performance of fuzzy system-based medical image
processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear …

Nowadays, many optimization issues around us cannot be solved by precise methods or
that cannot be solved in a reasonable time. One way to solve such problems is to use …

Prosumer microgrids (PMGs) are considered as active users in smart grids. These units are
able to generate and sell electricity to aggregators or neighbor consumers in the prosumer …

Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Concerns about fire risk reduction and rescue tactics have been raised in light of recent
incidents involving flammable cladding systems and fast fire spread in high-rise buildings …

Existing research mainly uses prior knowledge to set all fuzzy sets in a fuzzy system to the
same type. In data-driven fuzzy modeling, automatically determining the type of fuzzy set is …

Abstract Design automation, including reliable optimization of engineering systems, is of
paramount importance for both academia and industry. This includes the design of high …

In the present day markets, it is essential for organizations that manage their supply chain
efficiency to sustain their market share and improve profitability. Optimized inventory control …