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.

Multi-objective optimization for shading devices in buildings by using evolutionary algorithms

Abstract: The reduction of energy consumption is a major challenge around the world. Architectural aspects have a significant place to minimize energy consumption to the maximum level. The use of large glazed facades causes overheating problems in certain climatic regions. Shading elements must be considered at an early stage in the design process to overcome this problem. An application of the method is presented, focusing on the horizontal louvers integrated to a building in Izmir, Turkey. The contributions of the paper can be summarized as follows. We show that most architectural design problems are basically real-parameter multi-objective constrained optimization problems. So, any type of evolutionary and swarm optimization methods can be used in this field. A multi-objective self-adaptive differential evolution algorithm (jDEMO), inspired from the DEMO algorithm from the literature with some modifications, is developed and compared to the well-known fast and non-dominated sorting genetic algorithm so called NSGA-II in order to solve this complex problem and identify alternative design solutions to decision makers. Through the experimental results, we show that the proposed algorithm generated slightly better results when comparing to the NSGA-II algorithm.

Extreme Appraisals of Internal States and Duration of Remission in Remitted Bipolar Patients.

Abstract: INTRODUCTION To identify dysfunctional attitudes seen in bipolar disorder (BPD) is important for the cognitive theories of BPD and corresponding psychosocial interventions. Cognitions are seen as vulnerability factors in the development and maintenance of BPD. The present study aims to contribute to the cognitive literature on BPD by examining depressive and hypomanic attitudes and their contribution to the prediction of BPD diagnosis as well as by exploring the relationship between dysfunctional cognitions and clinical features (types of episodes experienced, duration of illness, and duration of remission). METHODS One hundred and eighteen remitted bipolar patients and 103 healthy controls completed the Mood Disorder Questionnaire (MDQ), Turkish Brief-Hypomanic Interpretations and Positive Predictions Inventory (HAPPI), and Dysfunctional Attitudes Scale. RESULTS The bipolar group had significantly higher depressive and hypomanic attitudes than the control group. No significant differences were found regarding the types of episodes experienced and duration of illness. However, both types of attitudes decreased as the duration of remission increased. They were also found to contribute to the prediction of bipolar diagnosis together with the screening of the MDQ. CONCLUSION The results pointed out that dysfunctional cognitions may be utilized as possible indicators for the risk of relapse in clinical groups and vulnerability for BPD among other populations.