Metaheuristic optimizers to solve multi-echelon sustainable fresh seafood supply chain network design problem: A case of shrimp products

An allocation-routing optimization model for integrated solid waste management

“…By utilizing mean plots and LSD values, our study presents a clear visualization of the comparative performance of the algorithms, which can aid researchers and practitioners in selecting the most appropriate algorithm for a given optimization problem. (Mosallanezhad, Ali Arjomandi, et al, 2023).…”

Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19

“…In their model, they considered traffic congestion, multi-drop deliveries, and outdoor temperature, which contributed to real-world conditions while minimizing fuel consumption for both transportation and cold preservation of products. Mosallanezhad et al [ 17 ] developed a supply chain network for fresh seafood that considers sustainability issues. They proposed a multi-objective mathematical programming model to take care of monetary and waste recycling aspects at the same time.…”

Grey Wolf Optimization Algorithm Based on Follow-Controlled Learning Strategy

“…This algorithm achieves a globally optimal solution by simulating both the hierarchical structure within a wolf pack [22] and the behaviors involved in tracking, encircling, and attacking prey during hunting [23]. The Grey Wolf Optimization (GWO) has been widely used in the fields of UAV path planning [24], futures price prediction [25,26], electricity energy optimization [27,28], predictive optimization of process parameters [29] and supply chain optimization [30,31], due to its simple structure, less parameter adjustment and high solution accuracy. However, as the complexity of industrial problems increases, GWO faces challenges in continuing to provide effective solutions.…”