Yazar "https://orcid.org/0000-0002-0354-9344" için listeleme
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The Best Approximation of Generalized Fuzzy Numbers Based on Scaled Metric
Allahviranloo, Tofigh; Saneifard, Rasoul; Saneifard, Rahim; Kiani, Farzad; Noeiaghdam, Samad; Govindan, Vediyappan (Hindawi Limited., 2022)The ongoing study has been vehemently allocated to propound an ameliorated α-weighted generalized approximation of an arbitrary fuzzy number. This method sets out to lessen the distance between the original fuzzy set and ... -
A Bioinspired Test Generation Method Using Discretized and Modified Bat Optimization Algorithm
Arasteh, Bahman; Arasteh, Keyvan; Kiani, Farzad; Sefati, Seyed Salar; Fratu, Octavian; Halunga, Simona; Tirkolaee, Erfan Babaee (MDPI, 2024)The process of software development is incomplete without software testing. Software testing expenses account for almost half of all development expenses. The automation of the testing process is seen to be a technique ... -
Chaotic Sand Cat Swarm Optimization
Kiani, Farzad; Nematzadeh, Sajjad; Anka, Fateme Ayşin; Fındıklı, Mine Afacan (MDPI, 2023)In this study, a new hybrid metaheuristic algorithm named Chaotic Sand Cat Swarm Optimization (CSCSO) is proposed for constrained and complex optimization problems. This algorithm combines the features of the recently ... -
Existence of a Unique Solution and the Hyers–Ulam-H-Fox Stability of the Conformable Fractional Differential Equation by Matrix-Valued Fuzzy Controllers
Eidinejad, Zahra; Saadati, Reza; Allahviranloo, Tofgh; Kiani, Farzad; Noeiaghdam, Samad; Gamiz, Unai Fernandez (Wıley-Hındawıadam House, 2022)In this paper, we consider a conformable fractional diferential equation with a constant coefcient and obtain an approximation for this equation using the Radu–Mihet method, which is derived from the alternative fxed- ... -
Metaheuristic Algorithms in IoT: Optimized Edge Node Localization
Kiani, Farzad; Seyyedabbasi, Amir (Springer, 2022)In this study, a new hybrid method is proposed by using the advantages of Grey Wolf Optimizer (GWO) and Moth-Flame Optimization (MFO) algorithms. The proposed hybrid metaheuristic algorithm tries to find the near-optimal ... -
Sahand: A Software Fault-Prediction Method Using Autoencoder Neural Network and K-Means Algorithm
Arasteh, Bahman; Golshan, Sahar; Shami, Shlva; Kiani, Farzad (Springer, 2024)Software is playing a growing role in many safety-critical applications, and software systems dependability is a major concern. Predicting faulty modules of software before the testing phase is one method for enhancing ...