Name: Optimization in Chemical Engineering: Deterministic, Meta-Heuristic and Data-Driven Techniques (de Gruyter Textbook) (en Inglés)
Price: 286820.00 COP
Availability: InStock
Author: Gómez-Castro Fernando Israel,Rico-Ramírez Vicente
ISBN: 9783111383385

portada Optimization in Chemical Engineering: Deterministic, Meta-Heuristic and Data-Driven Techniques (de Gruyter Textbook) (en Inglés)

Optimization in Chemical Engineering: Deterministic, Meta-Heuristic and Data-Driven Techniques (de Gruyter Textbook) (en Inglés)

Formato

Libro Físico

Editorial

De Gruyter

Autor

Gómez-Castro Fernando Israel,Rico-Ramírez Vicente

Idioma

Inglés

N° páginas

474

Encuadernación

Tapa Blanda

ISBN13

9783111383385

N° edición

Optimization in Chemical Engineering: Deterministic, Meta-Heuristic and Data-Driven Techniques (de Gruyter Textbook) (en Inglés)

Gómez-Castro Fernando Israel,Rico-Ramírez Vicente (Autor) · De Gruyter · Tapa Blanda

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Reseña del libro "Optimization in Chemical Engineering: Deterministic, Meta-Heuristic and Data-Driven Techniques (de Gruyter Textbook) (en Inglés)"

Optimization is an area in constant evolution. The search for robust optimization techniques to deal with the highly non-convex models that represent the systems related to Chemical Engineering has led to important advances in the area. The need for developing economically feasible processes which are simultaneously environmentally friendly, safe, and controllable requires for adequate optimization strategies. Moreover, finding a global optimum is still a challenge for a diversity of cases. Thus, this book presents a compilation of classic and emerging optimization techniques, focusing on their application to systems related to the Chemical Engineering. The book shows the applications of classic mathematical programming, metaheuristic optimization methods and machine learning-based strategies. The analysis of the described techniques allows the reader identifying the advantages and disadvantages of each approach. Moreover, the book will discuss the perspectives for future developments on the area.