Meta heuristics is an optimization approach that works as an intelligent technique to solve
optimization problems. Evolutionary algorithms, human-based algorithms, physics-based …

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 …

Supply chain management (SCM) integrates all links and business processes involved in
the supply chain through the information management system. Applying artificial intelligence …

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

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

Determining optimum inventory replenishment decisions are critical for retail businesses
with uncertain demand. The problem becomes particularly challenging when multiple …

In recent years, Vehicular ad hoc networks (VANETs) could facilitate the decision-making
progress of the drivers for example trip planning with the consideration of traffic. In the …

Women entrepreneurship has been growing significantly in several countries, wherein
recent promoting initiatives include the creation of business networks formed exclusively by …

Nowadays, most of the researchers have focused on collecting the used products to carry
out the recovery process. This paper deals with the repair process to improve the virtual age …

This paper addresses a new multi-level serial closed-loop supply chain (CLSC) model with
an integrated formulation of batch deliveries, quality-dependent return rate, random …