ISBN: 9783725888399 - intelligent optimization algorithm: theory and applications (7 risultati)

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Hardcover. Condizione: new. Hardcover. Intelligent optimization algorithms (IOAs) are a branch of artificial intelligence that emphasizes developing and applying data-driven methods to solve complex search, learning, and simulation problems. Many real-world applications for complex industrial engineering or design problems could be modeled as searching, learning, and simulation problems. Given their learning ability, IOAs are emerging approaches that utilize advanced computational power, metaheuristic algorithms, and massive data processing techniques. These approaches have been actively investigated and applied to many real-world applications, such as scheduling and logistics operations.IOAs, inspired by biological or social phenomena, encompass a range of search and optimization techniques. They include bio-inspired intelligent algorithms, evolutionary computation methods, and swarm intelligence. With these methods, optimization problems, which can be formulated in any form, do not need to be expressed as continuous, differentiable functions. The only requirement for representing optimization problems is to evaluate each individual by its fitness value. Therefore, IOAs are used to solve more general optimization problems, especially those that are difficult to solve with traditional hill-climbing algorithms. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condizione: new. Hardcover. Intelligent optimization algorithms (IOAs) are a branch of artificial intelligence that emphasizes developing and applying data-driven methods to solve complex search, learning, and simulation problems. Many real-world applications for complex industrial engineering or design problems could be modeled as searching, learning, and simulation problems. Given their learning ability, IOAs are emerging approaches that utilize advanced computational power, metaheuristic algorithms, and massive data processing techniques. These approaches have been actively investigated and applied to many real-world applications, such as scheduling and logistics operations.IOAs, inspired by biological or social phenomena, encompass a range of search and optimization techniques. They include bio-inspired intelligent algorithms, evolutionary computation methods, and swarm intelligence. With these methods, optimization problems, which can be formulated in any form, do not need to be expressed as continuous, differentiable functions. The only requirement for representing optimization problems is to evaluate each individual by its fitness value. Therefore, IOAs are used to solve more general optimization problems, especially those that are difficult to solve with traditional hill-climbing algorithms. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condizione: new. Hardcover. Intelligent optimization algorithms (IOAs) are a branch of artificial intelligence that emphasizes developing and applying data-driven methods to solve complex search, learning, and simulation problems. Many real-world applications for complex industrial engineering or design problems could be modeled as searching, learning, and simulation problems. Given their learning ability, IOAs are emerging approaches that utilize advanced computational power, metaheuristic algorithms, and massive data processing techniques. These approaches have been actively investigated and applied to many real-world applications, such as scheduling and logistics operations.IOAs, inspired by biological or social phenomena, encompass a range of search and optimization techniques. They include bio-inspired intelligent algorithms, evolutionary computation methods, and swarm intelligence. With these methods, optimization problems, which can be formulated in any form, do not need to be expressed as continuous, differentiable functions. The only requirement for representing optimization problems is to evaluate each individual by its fitness value. Therefore, IOAs are used to solve more general optimization problems, especially those that are difficult to solve with traditional hill-climbing algorithms. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Buch. Condizione: Neu. Intelligent Optimization Algorithm | Theory and Applications | Buch | Englisch | 2026 | MDPI AG | EAN 9783725888399 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Intelligent optimization algorithms (IOAs) are a branch of artificial intelligence that emphasizes developing and applying data-driven methods to solve complex search, learning, and simulation problems. Many real-world applications for complex industrial engineering or design problems could be modeled as searching, learning, and simulation problems. Given their learning ability, IOAs are emerging approaches that utilize advanced computational power, metaheuristic algorithms, and massive data processing techniques. These approaches have been actively investigated and applied to many real-world applications, such as scheduling and logistics operations.IOAs, inspired by biological or social phenomena, encompass a range of search and optimization techniques. They include bio-inspired intelligent algorithms, evolutionary computation methods, and swarm intelligence. With these methods, optimization problems, which can be formulated in any form, do not need to be expressed as continuous, differentiable functions. The only requirement for representing optimization problems is to evaluate each individual by its fitness value. Therefore, IOAs are used to solve more general optimization problems, especially those that are difficult to solve with traditional hill-climbing algorithms.…