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Optimize the Extraction Medicine Effective Component Analysis Based on Mendelian Multiobjective Simple Genetic Algorithms

Author: ShiXianFeng
Tutor: ChouLiXia
School: Shanxi Medical
Course: Epidemiology and Biostatistics,
Keywords: Multi-objective optimization Mendel multi- target simple genetic algorithm Pareto non-inferior solutions
CLC: R91
Type: Master's thesis
Year: 2010
Downloads: 93
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Abstract

In the field of pharmaceutical research, there are a lot of multi-objective optimization problem, so multi-objective optimization is a very important area of ??research. While the multi-objective design optimization, the the competing objective function deviate from reason in a single optimization function is that it rarely allows a single good solution, but often allow an optional set of solutions. The main objective of the multi-objective optimization techniques to find the Pareto focus on one or more accepted solution. Traditional methods often multi-objective problem into one or a series of single objective optimization problem, target planning method, multiplication and division, linear weighted combination of law and the efficiency coefficient method optimization solution, is often a target optimal Another goal may be the worst, and can not guarantee that all goals are the optimal solution exists, and they can only provide a unique solution, which is operations research community is an open research problems. The genetic algorithm is a by simulating the natural evolution of the method of the process of searching the optimal solution in solving complex problems, it has made a successful application, and by the widespread concern. However, genetic algorithms optimization techniques, in the future development of a lot of work needs to continue to improve our capabilities. Therefore, genetic research, looking for a more efficient algorithm for solving the actual problem is of great significance. This topic to explore Mendel simple multi-objective genetic algorithm theory and methods based on the use the Matlab plug SGALAB of the toolbox Chen Yi, Task Force members of the University of Glasgow, UK software engineers, developed for the subject requirements, reliability testing program for MMOSGA The effect evaluation provide a theoretical basis for the practical application of MMOSGA and viable program; to microwave extraction Schisandra and Bupleurum active ingredient extraction process experimental data, a simple Mendelian multi-objective genetic algorithm to determine the optimal extraction conditions, and explore practical value MMOSGA; for nasturtium active ingredients extracted test, to simple Mendelian multi-objective genetic algorithm to optimize the extraction conditions, from the point of view of the test to verify the practical value of the MMOSGA. The study of the subject content and results: the first part of Mendel simple multi-objective genetic algorithm is effective evaluation and program testing. Optimized standard test function. The results show: three test functions within a given range, the search for the value of the objective function and function better approximation to the optimal solution space. Tip: results of multi-objective optimization test function theoretical level, with Matlab2009a the plug SGALAB Toolbox beta5008 program is feasible; due to the randomness of the genetic algorithm, application can run several objective function value as the optimal solution programs. The second part of Mendel multi-objective simple genetic algorithm in microextraction Schisandra as well as the extraction of the active ingredients of Bupleurum process research and explore practical value MMOSGA. Information extraction process using microwave extraction Schisandra study the extract yield (%), the Schisandrin in content (%), Schisandra total lignan content (%) three competing multi-objective optimization: MMOSGA optimization schizandrol Schisandra total lignans have reached more than 95% of the single target maximum objective function value to determine the optimal extraction conditions, the effect of any one of the programs in the above test. Terms of the three goals MMOSGA 15 programs see, 50 grams of Schisandra Pieces crushed to 77 mesh, adding 6.84 times the 89.3% ethanol, extracted nine minutes in a 417W microwave extract yield of 20.07%, schizandrol 4.95%, Schisandra total wood visfatin 11.16%; terms of the Bupleurum volatile oil distillate absorption the degrees and saikosaponin a content MMOSGA objective optimization study of the extraction process of the active ingredients of Bupleurum two goals are to achieve a single objective maximum target more than 88% of the function values ??selectable ideal No. 6 as the optimum conditions, i.e. 78 ℃ impregnation collected equivalent herbs 2 times the amount of the distillate following with 8 times the amount of 5% aqueous ammonia containing 95% ethanol extraction 1 hour, the absorption of the volatile oil can reach 72.49%, Saikosaponin a content of up to 32.71%. Optimal extraction conditions of active ingredients based on genetic algorithm nasturtium third part of pilot studies, validation useful MMOSGA. Nasturtium active ingredient extraction process test, developed cream rate (%), total flavonoid content (%) of two competing multi-objective optimization, and results show that: the water extract Trollius process MMOSGA algorithmic search out out cream rate of total flavonoids have reached more than 95% of the maximum value of the objective function of the single objective genetic algorithm to determine the optimal extraction conditions, the effect of any one of the programs in the above test, the terms of the two goals simple Mendelian genetic algorithm No. 2 program see out The alcohol extract Trollius process MMOSGA algorithm to search out the cream with 13.31 times the water, soaking 0.60h, boiling 1.49h, decoction of 2.72 times, a cream rate of 41.79%, total flavonoid content of up to 6.73%; rate of total flavonoids have reached more than 95% of the maximum value of the objective function of single objective simple Mendelian genetic algorithm to determine the optimal extraction conditions, the effect of any one of the programs in the above test, the terms of the two-objective Genetic Algorithm No. 8 program to see , with 12 times the 61% ethanol extract 1.50h, extracted three times a cream rate reached 40.72%, 11.81% total flavonoids. To sum up, the multi-objective of Mendel simple genetic algorithm multi-objective optimization results are satisfactory, workable procedures, the desired results have been applied to solve practical problems.

Optimize the Extraction Medicine Effective Component Analysis Based on Mendelian Multiobjective Simple Genetic Algorithms

Abstract

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