Unit:
Department of Informatics and TelecommunicationsΠληροφορική
Supervisors info:
Παναγιώτης Σταματόπουλος, Επίκουρος Καθηγητής, Σχολή Θετικών Επιστημών Τμήμα Πληροφορικής και Τηλεπικοινωνιών, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Original Title:
Implementation of the Sine Cosine Algorithm and its variants for solving the tension compression spring design problem
Translated title:
Implementation of the Sine Cosine Algorithm and its variants for solving the tension compression spring design problem
Summary:
The Sine and Cosine Algorithm was created by Seyedali Mirjalili in 2015. It uses sine and cosine to solve various optimisation problems precisely. It belongs to a category of metaheuristics, which includes population-based strategies for obtaining the optimal result by mimicking natural phenomena. This thesis elaborates on a wide variety of its mutants. Specifically, fuzzy, chaotic, opposite-based-learning, greedy levy flight and adaptive multi-objective aquila are some of the variants the work focuses on.
This work is based on both theoretical and practical aspects of the algorithm. First, tests of efficiency were pursued on multiple benchmark functions. The research on the topic was expanded by the solution of a widely known engineering problem, the tension/compression spring design. It can be observed that the algorithm has relevance to various engineering, mathematical and medical issues when other deterministic ways fail. Many variants of the procedure were introduced to balance its weaknesses. Finally, diagrams are presented to improve our understanding of the SCA’s accuracy.
Main subject category:
Technology - Computer science
Keywords:
Swarm Intelligence, optimisation, sine cosine, mutation, spring design problem
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