TY  - CHAP
AU  - Roberto Irizarry
ED  - Ioannis  Dritsas
Y1  - 2011-02-28
PY  - 2011
T1  - Global and Dynamic Optimization using the Artificial Chemical Process Paradigm and Fast Monte Carlo Methods for the Solution of Population Balance Models
N2  - Stochastic Optimization Algorithms have become essential tools in solving a wide range of difficult and critical optimization problems. Such methods are able to find the optimum solution of a problem with uncertain elements or to algorithmically incorporate uncertainty to solve a deterministic problem. They even succeed in fighting uncertainty with uncertainty.
This book discusses theoretical aspects of many such algorithms and covers their application in various scientific fields.
BT  - Stochastic Optimization
SP  - Ch. 16
UR  - https://doi.org/10.5772/14951
DO  - 10.5772/14951
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-26
ER  -