evolutionary algorithms solving dynamic de mohammadpour majid (9 résultats)

Etat : New.

Taschenbuch. Etat : 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.

Etat : 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.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 116 pp. Englisch.

Etat : New. Print on Demand.

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohammadpour MajidMajid 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.Dynamic environmen.

Etat : New. PRINT ON DEMAND.

Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.