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.

Artificial Bee Colony Optimization Algorithm for Uncapacitated Facility Location Problems

Abstract: In this paper, a new multiple facility location an d allocation method is proposed. This algorithm assigns demand points to p re-determined facilities which have infinite capacities, by using an artificial be e colony optimization with local search to solve discrete uncapacitated multiple fac ility location problems. This method is tested and compared with continuous and discrete particle swarm optimization based facility location methods on alt ernative models with or without local search for optimizing the well-known benchmark problems and generated problems.Similar test is conducted on actual demand and transportation cost data from a fertilizer manufacturer from Turkey, which i ncludes 11 facility locations and 768 demand points. Proposed ABC-based algorithm exhibited better performance than the PSO-based algorithms.

The mediating role of depression in the relationship between body image dissatisfaction and cyberbullying perpetration

Abstract: Preliminary evidence suggests that psychopathological factors (e.g., depression) are associated with higher engagement in cyberbullying perpetration, and those with elevated body image dissatisfaction (BID) are more susceptible to depression. However, the possible impact of body image dissatisfaction (BID) on cyberbullying remains untested. The present study examined the direct and indirect relationships of BID with cyberbullying via depression among a sample of 507 university students (mean age, 21.37 years; range 18–44 years). t tests showed that males had a higher prevalence of cyberbullying than females. Structural equation modeling indicated that BID was directly and indirectly associated with cyberbullying via depression among the total sample and males. However, BID was only indirectly related to cyberbullying via depression among females. Depression fully explained the relationship between BID and cyberbullying among females, although there were additional mediating factors between BID and cyberbullying among males. The findings are in accordance with theoretical models suggesting that individuals’ personal characteristics including psychopathological factors are associated with cyberbullying. Furthermore, males attempt to cope with their body image–related psychopathology with more externalizing behaviors than females.

Ensemble of differential evolution algorithms for electromagnetic target recognition problem

Abstract: In this study, an ensemble of differential evolution (DE) algorithms is presented to classify electromagnetic targets in resonance scattering region. The algorithm aims to synthesize a special incident signal for each target, which is defined as the main discrimination feature in the given target recognition method. In the proposed algorithm, the amplitudes of basis functions and the duration of this incident signal are optimised to give minimum late-time scattered signal's energy, which is the main fitness function of the algorithm. The proposed DE algorithm is applied to a target set consisting of lossless dielectric spheres and correct recognition rates for both noiseless and noisy signals are obtained. The results for both developed DE algorithm and other DE variants of traditional DE, adaptive differential evolution with optional external archive (JADE), jDE are also given to compare the algorithms and show the effectiveness of the proposed one.