A Novel Framework for Hybrid Intelligent Systems

Hefny, Hesham A.; Wahab, Ashraf H. Abdel; Bahnasawi, Ahmed A.; Shaheen, Samir I.

doi:10.1007/978-3-540-48765-4_81

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…Recently, inspired by various immune metaphors, immune algorithm, one of the new computational intelligence methods, has drawn significant attention from the researchers. − The significant work includes CLONALG, RAIN, and aiNet, etc. However, CLONALG is reported to be more easily convergent to the local optimum than EA when the researching landscape is not uniform. − Some works also indicate that the application of RAIN is inevitably limited by its normalized data, while the performance of aiNet is very sensitive owing to its many parameters. , It is believed that integrating different intelligent technologies into a more powerful and effective system can solve the remaining tough problems in the artificial intelligence field. − Therefore, in this paper, we combined fuzzy logic with an immune algorithm and proposed a fuzzy adaptive immune algorithm (FAIA) to predict the optimal operation conditions of the p -xylene oxidation reaction, which provides technical support for the improvement of TA production and further raises the economic benefits of PTA production.…”

Section: Introductionmentioning

confidence: 99%

“…7,16 It is believed that integrating different intelligent technologies into a more powerful and effective system can solve the remaining tough problems in the artificial intelligence field. [17][18][19] Therefore, in this paper, we combined fuzzy logic with an immune algorithm and proposed a fuzzy adaptive immune algorithm (FAIA) to predict the optimal operation conditions of the p-xylene oxidation reaction, which provides technical support for the improvement of TA production and further raises the economic benefits of PTA production.…”

Section: Introductionmentioning

confidence: 99%

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Operation Condition Optimization of p-Xylene Oxidation Reaction Process Based on a Fuzzy Adaptive Immune Algorithm

Qian

et al. 2010

Ind. Eng. Chem. Res.

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The oxidation of p-xylene to terephthalic acid (TA) is a significant chemical process of purified TA production. Variation of operation conditions of the reaction directly affects the quality of TA. In this paper a fuzzy adaptive immune algorithm (FAIA) was proposed to realize the operation condition optimization of the p-xylene oxidation reaction. In FAIA, a chaotic hypermutation was developed to strengthen the searching ability of the algorithm, and a new immune network regulatory strategy was devised to maintain population adversity. Furthermore, two fuzzy logic modules were constructed to adjust parameters, further increasing the adaptability of the algorithm. The data of function optimization show that FAIA can quickly converge to the global optimum and overcome premature problems. Optimization results of process variable values of the p-xylene oxidation reaction indicate that the application of FAIA in an oxidation reaction process can greatly save the time of operation condition selection and reduce production cost.

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