SOLVING RESCHEDULING PROBLEMS IN DYNAMIC PERMUTATION FLOW SHOP ENVIRONMENTS WITH MULTIPLE OBJECTIVES USING THE HYBRID DYNAMIC NON-DOMINATED SORTING GENETIC II ALGORITHM

In this work, we seek to design a model that contributes to the study and resolution of a multi-objective rescheduling problem in dynamic permutation flow shop contexts.In this type of problem, where the objectives can be valued in heterogeneous units, the difficulty of achieving an optimal solution leads to finding a set of non-dominated efficient

Events of status epilepticus (SE) trigger the development of temporal lobe epilepsy (TLE), a type of focal epilepsy that is commonly drug-resistant and is highly comorbid with cognitive deficits.While SE-induced hippocampal injury, accompanied by gliosis and neuronal loss, typically disrupts cognitive functions resulting in memory defects, it is no

A retrospective study was conducted in Abergele and Ziquala districts in Ethiopia to investigate the occurrence, impact, and potential risk factors for abortion in small ruminants linked to a regional abortion storm.Affected (case) and nonaffected (control) villages were compared to assess infectious and noninfectious risk factors causing abortions

Shelf life of a fruit is an important consideration for its storage and marketing.Post-harvest losses of guava represent a massive loss and decreased our guava production every year.The current study was carried out in the Baramoon Experimental Farm of the Horticulture Research Institute, Dakahlia Governorate, Egypt, to evaluate the effect of pre-

In this paper, a deep learning technique for tumor detection in a microwave tomography framework is proposed.Providing an easy and effective imaging technique for breast cancer detection is one of the main focuses for biomedical researchers.Recently, microwave tomography Cod Liver Oil gained a great attention due to its ability to reconstruct the e