Yaşar University

About: Yaşar University is a education organization based out in Izmir, Turkey. It is known for research contribution in the topics: Exergy & Job shop scheduling. The organization has 760 authors who have published 1436 publications receiving 20813 citations. The organization is also known as: Yaşar Üniversitesi.

Minimizing the total flow time in a flow shop with blocking by using hybrid harmony search algorithms

Abstract: In this paper, three hybrid harmony search (HS) algorithms, namely, hybrid harmony search (hHS) algorithm, hybrid globalbest harmony search (hgHS) algorithm and hybrid modified globalbest harmony search (hmgHS) algorithm, are developed for solving the flow shop scheduling with blocking to minimize the total flow time. Firstly, a largest position value (LPV) rule is proposed to convert continuous harmony vectors into job permutations. Secondly, an initialization scheme based on a variant of the NEH heuristic is presented to construct the initial harmony memory with certain quality and diversity. Thirdly, HS is employed to evolve harmony vectors in the harmony memory to perform exploration, whereas a local search algorithm based on the insert neighborhood is embedded to enhance the local exploitation ability. In addition, some new pitch adjustment rules are developed to well inherit good structures from the globalbest harmony vector. Based on a set of well-known benchmark instances, extensive computational experiments are carried out. Computational results show the effectiveness of the hybrid harmony search algorithms, especially the (hmgHS) algorithm, in solving the blocking flow shop scheduling with total flow time criterion.

Neuroticism, Trait Fear of Missing Out, and Phubbing: The Mediating Role of State Fear of Missing Out and Problematic Instagram Use

Abstract: One of the relatively new negative consequences of smartphone use is “phubbing” (snubbing someone while an individual checks their smartphone in the middle of a real-life conversation). The purpose of the present study was to investigate the direct and indirect associations of neuroticism, trait anxiety, and trait fear of missing out with phubbing via state fear of missing out and problematic Instagram use. A total of 423 adolescents and emerging adults aged between 14 and 21 years (53% female) participated in the study. Findings indicated that females had significantly higher scores of phubbing, fear of missing out, problematic Instagram use, trait anxiety, and neuroticism. Path analysis showed that trait fear of missing out and neuroticism were indirectly associated with phubbing via state fear of missing out and problematic Instagram use. State fear of missing out was directly and indirectly associated with phubbing via problematic Instagram use. The present study is the first to demonstrate empirical evidence for the relationship between different dimensions of fear of missing out, problematic Instagram use, and phubbing.