A Two-Echelon Pharmaceutical Supply Chain Optimization via Genetic Algorithm

Yıldırım, Elif; Denizhan, Berrin

doi:10.1007/978-981-16-7164-7_7

Cited by 3 publications

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…GAs' technique design is likewise natural growth structure, and this technique was introduced in 1960 by Holland [53]. GAs depict optimized performances of heuristic, selection, and mutation along with crossover and have many implementations including the aircrafts industry [54], solar photovoltaic systems [55], heterogeneous celebrations [56], weather forecasting [57], and pharmaceutical supply chain [58]. A hybridization of GAs with any local solver can signifcantly increase the convergence, and for this purpose, SQP solver is used [59,60].…”

Section: Optimization Of Networkmentioning

confidence: 99%

Neuro‐Heuristic Computational Intelligence Approach for Optimization of Electro‐Magneto‐Hydrodynamic Influence on a Nano Viscous Fluid Flow

Butt,

Ahmad,

Raja

et al. 2023

International Journal of Intelligent Systems

View full text Add to dashboard Cite

In this investigative study, the electro-magneto hydrodynamic (EMHD) influence on a nano viscous fluid model is scrutinized by designing an artificial neural network (ANN) paradigm using a neuro-heuristic approach (NHA) through the combination of GAs (genetic algorithms) and one of the most efficient locally searching solver SQP (sequential quadratic programming), i.e., NHA-GA-SQP. The fluid flow for the proposed problem is initially interpreted in the form of PDEs and then utilization of suitable similarity transformation on these PDEs yields in terms of a stiff nonlinear system of ODEs. The numerical results of the suggested fluidic model based on the variation of its physically existing parameters are calculated through the NHA-GA-SQP solver to detect the variation in velocity, thermal gradient, and concentration during the fluid flow. A detailed analysis of obtained outcomes through the NHA-GA-SQP algorithm and their comparison with the reference results estimated via the Adams method are presented. The calculation of the proposed solver’s accuracy, stability, and consistency through various statistical operators is also involved in the current inspection.

show abstract