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Article: New findings in chemical engineering described by M. Ramteke and co-researchers.
- Article from:
- Journal of Engineering
- Article date:
- September 23, 2009
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According to recent research from Bombay, India, "Several of the recent optimization techniques have been adapted from nature. The elitist nondominated sorting genetic algorithm with the adapted jumping gene operator (NSGA-II-aJG) is one such evolutionary technique inspired by genetics."
"This algorithm is quite useful for solving multiobjective optimization problems. The drawback of these techniques is the inordinately large amount of computational effort required for solving real-life problems, even though these techniques are quite robust as compared to conventional techniques. Their use for online optimization is particularly limited. Many industrial ...