Browsing by Author "Özsoydan, Fehmi Burçin"
Now showing items 1-4 of 4
-
Analysis of different binarization techniques within whale optimization algorithm
Gölcük, İlker; Özsoydan, Fehmi Burçin; Durmaz, Esra Duygu (IEEE, 2019)In this study, Whale Optimization Algorithm (WOA), which is a recently proposed swarm intelligence-based algorithm, has been used to solve binary optimization problems. As the WOA algorithm has been developed for optimizing ... -
Evolutionary and adaptive inheritance enhanced Grey Wolf Optimization algorithm for binary domains
Gölcük, İlker; Özsoydan, Fehmi Burçin (Elsevier, 2020)This paper introduces a new binary Grey Wolf Optimization (GWO) algorithm, which is one of the recent swarm intelligence-based metaheuristic algorithms. Its various extensions have been reported in the related literature. ... -
Q-learning and hyper-heuristic based algorithm recommendation for changing environments
Gölcük, İlker; Özsoydan, Fehmi Burçin (Pergamon-Elsevier Science Ltd, 2021)A considerable amount of research has been devoted to solving static optimization problems via bio-inspired metaheuristic algorithms. However, most of the algorithms assume that all problem-related data remain unchanged ... -
Quantum particles-enhanced multiple Harris Hawks swarms for dynamic optimization problems
Gölcük, İlker; Özsoydan, Fehmi Burçin (Pergamon-Elsevier Science Ltd, 2021)Dynamic optimization problems (DOPs) have been a subject of considerable research interest mainly due to their widespread application potential. In the literature, various mechanisms have been reported to cope with the ...