Dynamic Optimization and Non-linear Model Predictive Control to Achieve Targeted Particle Morphologies
نویسندگان
چکیده
منابع مشابه
Comparative Study of Particle Swarm Optimization and Genetic Algorithm Applied for Noisy Non-Linear Optimization Problems
Optimization of noisy non-linear problems plays a key role in engineering and design problems. These optimization problems can't be solved effectively by using conventional optimization methods. However, metaheuristic algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) seem very efficient to approach in these problems and became very popular. The efficiency of these ...
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ژورنال
عنوان ژورنال: Chemie Ingenieur Technik
سال: 2018
ISSN: 0009-286X
DOI: 10.1002/cite.201800118