New Multi-Objective Optimization Techniques and Their Application to Complex Chemical Engineering Problems
In this study, two new Multi-Objective Optimization (MOO) techniques are developed. The two new techniques, the Objective-Based Gradient Algorithm (OBGA) and the Principal Component Grid Algorithm (PCGA), were developed with the goals of improving the accuracy and efficiency of the Pareto domain app...
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| Language: | en |
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2011
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| Online Access: | http://hdl.handle.net/10393/19785 |