Dynamic environments are environments that are capable of changing over time. These changes can occur in various ways, including changes in parameters, target functions, or problem constraints. In this regard, a range of different sciences such as management, economics, computer science, mathematics, etc. have been affected by these changes, both in theory and in practice in the real world. For this reason, solving the problems of dynamic environments that are known as solving dynamic optimization problems has been posed from the past few decades to the present. The most important challenge in solving such problems is how to adapt to the newly modified environment. Therefore, the need to trace and track new optimal points (points) in the problem space is felt.
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Majid Mohammadpour - Master of Science Computer. Islamic Azad University, Research Branch of Tehran (Kohgiloye and BoyerAhmad). Yong Researcher and Elite Club Islamic Azad University of Yasouj.
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Taschenbuch. Zustand: Neu. Evolutionary Algorithms for Solving Dynamic Optimization Problems | Majid Mohammadpour | Taschenbuch | 116 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139897025 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Artikel-Nr. 115368432
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Dynamic environments are environments that are capable of changing over time. These changes can occur in various ways, including changes in parameters, target functions, or problem constraints. In this regard, a range of different sciences such as management, economics, computer science, mathematics, etc. have been affected by these changes, both in theory and in practice in the real world. For this reason, solving the problems of dynamic environments that are known as solving dynamic optimization problems has been posed from the past few decades to the present. The most important challenge in solving such problems is how to adapt to the newly modified environment. Therefore, the need to trace and track new optimal points (points) in the problem space is felt. Artikel-Nr. 33664940/2
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