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Stochastic Global Optimization Methods and Applications to Chemical, Biochemica…

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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

Presents various classical as well as stochastic, evolutionary, and artificial intelligence optimization algorithms emphasizing their design, analysis and implementation to solve complex optimization problems of different domains

Ch. Venkateswarlu (Author), Satya Eswari Jujjavarapu (Author)

9780128173923

Paperback / softback, published 18 November 2019

310 pages

23.5 x 19 x 2 cm, 0.59 kg

\""The book contains a good introduction to optimization algorithms including classical analytical methods, stochastic and evolutionary optimization algorithms and their applications. For algorithms, additionally to their descriptions, advantages and disadvantages are discussed and basic case problems are analyzed. A particular consideration is given to stochastic and evolutionary optimization algorithms because they can successfully overcome difficulties conn]

Stochastic Global Optimization Methods and Applications to Chemical, Biochemica…

Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

Presents various classical as well as stochastic, evolutionary, and artificial intelligence optimization algorithms emphasizing their design, analysis and implementation to solve complex optimization problems of different domains

Ch. Venkateswarlu (Author), Satya Eswari Jujjavarapu (Author)

9780128173923

Paperback / softback, published 18 November 2019

310 pages

23.5 x 19 x 2 cm, 0.59 kg

\""The book contains a good introduction to optimization algorithms including classical analytical methods, stochastic and evolutionary optimization algorithms and their applications. For algorithms, additionally to their descriptions, advantages and disadvantages are discussed and basic case problems are analyzed. A particular consideration is given to stochastic and evolutionary optimization algorithms because they can successfully overcome difficulties conn]

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