Deming Lei, Surui Duan, Mingbo Li^*, Jing Wang

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 47-63, 2024, DOI:10.32604/cmc.2024.049481

Abstract Bottleneck stage and reentrance often exist in real-life manufacturing processes; however, the previous research rarely addresses these two processing conditions in a scheduling problem. In this study, a reentrant hybrid flow shop scheduling problem (RHFSP) with a bottleneck stage is considered, and an elite-class teaching-learning-based optimization (ETLBO) algorithm is proposed to minimize maximum completion time. To produce high-quality solutions, teachers are divided into formal ones and substitute ones, and multiple classes are formed. The teacher phase is composed of teacher competition and teacher teaching. The learner phase is replaced with a reinforcement search of the elite class. Adaptive adjustment on… More >

Benjamin Zielonka¹, Yuli Y. Kim^2,3, Gregory E. Supple², Sara L. Partington^2,3, Emily S. Ruckdeschel^2,3, Francis E. Marchlinski², David S. Frankel²

Congenital Heart Disease, Vol.14, No.6, pp. 931-938, 2019, DOI:10.1111/chd.12833

Abstract Objective: Atrial arrhythmias and atrioventricular valve regurgitation (AVVR) are common causes of morbidity among adults with congenital heart disease (ACHD). The impact of rhythm control on AVVR in this population is unknown. We sought to determine whether a rhythm control strategy is associated with greater freedom from AV valve surgery than a rate control strategy.
Design: Patients evaluated by both ACHD and electrophysiology specialists at a single academic center were screened for atrial arrhythmias and at least moderate‐severe AVVR. Clinical and electrographic data were abstracted. All echocardiograms were in‐ terpreted by a single echocardiographer blinded to treatment strategy. Patients were… More >