A comprehensive survey : Physics-based algorithms

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dc.authorscopusidAmir Seyyedabbasi / 57202833910
dc.authorwosidAmir Seyyedabbasi / HJH-7387-2023
dc.contributor.authorSeyyedabbasi, Amir
dc.date.accessioned2025-04-18T08:13:38Z
dc.date.available2025-04-18T08:13:38Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü
dc.description.abstractTo solve computationally challenging optimization problems, metaheuristic algorithms can be used. Metaheuristic algorithms are inspired by natural processes and are used to solve complex optimization problems that cannot be solved with traditional optimization algorithms. They provide approximate solutions that are usually close to the optimal solution. The development of metaheuristics has been inspired by many natural and physical processes which, combined, have provided near-optimal or optimal solutions to several engineering problems. Specifically, this chapter discusses metaheuristic algorithms based on nonlinear physical phenomena with a concrete optimization paradigm, which have demonstrated remarkable exploration and exploitation capabilities for such problems. These metaheuristics have the ability to find the best solution from within a high-dimensional search space and can even find solutions to problems that are too complex for analytical methods. Additionally, they can efficiently explore a wide variety of possible solutions with minimal computational resources, making them ideal for engineering problems. In particular, this chapter describes a number of popular physics-based metaheuristics as well as the physical processes that underlie each of these algorithms. © 2024 Elsevier Inc. All rights reserved.
dc.identifier.citationSeyyedabbasi, A. (2024). A comprehensive survey: Physics-based algorithms. Decision-Making Models, 59-75.
dc.identifier.doi10.1016/B978-0-443-16147-6.00033-5
dc.identifier.endpage75
dc.identifier.isbn978-044316147-6, 978-044316148-3
dc.identifier.scopus2-s2.0-85202876066
dc.identifier.startpage59
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6531
dc.institutionauthorSeyyedabbasi, Amir
dc.institutionauthoridAmir Seyyedabbasi / 0000-0001-5186-4499
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofDecision-Making Models: A Perspective of Fuzzy Logic and Machine Learning
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectOptimization Problems
dc.subjectPhysics-Based Algorithm
dc.subjectPhysics-Based Algorithms
dc.titleA comprehensive survey : Physics-based algorithms
dc.typeBook Chapter

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