Name
Title | ||
|---|---|---|
Optimization Method for Design of Supercritical Water Oxidation Process Using Genetic Algorithm |
Abstract | ||
|---|---|---|
To decide optimum conditions for a chemical process is difficult task. Design variables of chemical process like the supercritical water oxidation process are discrete variables (ex. structure) and continuous variables (ex. temperature, pressure). This paper develops a method simultaneously optimizes continuous variables and discrete variables in safety region using genetic algorithm. We demonstrate the proposed method using the supercritical water oxidation process in this study. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74827-4_94 | KES (2) |
Keywords | Field | DocType |
chemical process,design variable,genetic algorithm,continuous variable,optimum condition,discrete variable,optimizes continuous variable,supercritical water oxidation process,supercritical water oxidation,optimization method,difficult task | Process engineering,Mathematical optimization,Continuous variable,Supercritical water oxidation,Genetic algorithm,Mathematics,Discrete variable | Conference |
Volume | ISSN | Citations |
4693 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 2 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hiroya Yamasaki | 1 | 0 | 0.34 |
| Kazuhiro Takeda | 2 | 3 | 5.53 |
| Yukiyasu Shimada | 3 | 49 | 10.09 |
| Takashi Hamaguchi | 4 | 16 | 7.91 |
| Teiji Kitajima | 5 | 1 | 1.98 |
| Tetsuo Fuchino | 6 | 41 | 6.50 |