Search

Evolutionary algorithms (EAs) is a family of population-based nature optimization methods. In contrast to classical optimization techniques, EAs provide a set of approximated solutions for different test suites of optimization and real-world problems in single simulation. In the last few years, hybrid EAs have received much attention by utilizing the valuable aspects of different nature of search strategies. Hybrid EAs are quite efficient in handling various optimization and search problems having had high complexity, noisy environment, imprecision, uncertainty and vagueness. In this article, a hybrid differential evolutionary strawberry algorithm (HDEA) is suggested to utilize the propagating behavior of the strawberry plant and perturbation process of differential evolution (DE) algorithm in order to evolve their population set of solutions. The proposed algorithm employs DE as a substitute while replacing the runners of the strawberry plant to effectively explore and exploit the search space of the problem at hand. The numerical results found by the proposed algorithm over most benchmark functions after extensive experiments are much promising in terms of proximity and diversity. [ABSTRACT FROM AUTHOR]

Banks are one of the key components in the world economy's financial activities. With the increasing competitive environment, banks need to use their resources effectively. Effective and efficient operation of banks is one of the important issues of money and financial markets. Effective operation of banks that are at the center of the economy, and measuring and evaluating their performances both determine their positions in the sector and have strategic importance on process management of the country's economy. Determining which criteria and weights will be determined for performance is very important in the multi-criteria decision making process. Fuzzy techniques have more sensitivity in such evaluations. Fuzzy approaches are preferred as the risk, uncertainty and competition continue to increase in the banking sector. In this study, the criteria that affect the financial performance of banks are determined. Based on relevant criteria, the first seven banks were ranked in total assets according to reports received from The Banks Association of Turkey for 2014-2018 financial year and a performance evaluation was done by using the TOPSIS and Fuzzy TOPSIS methods. [ABSTRACT FROM AUTHOR]