Construction of Integral Objective Function/Fitness Function of Multi-Objective/Multi-Disciplinary Optimization

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書誌詳細
出版年:	Computer Modeling in Engineering & Sciences vol. 6, no. 6 (2004), p. 567
第一著者:	Zhu, Z Q
その他の著者:	Liu, Z, Wang, X L, Yu, R X
出版事項:	Tech Science Press
主題:	Maxwell's equations Hierarchies Euler-Lagrange equation Multiple objective analysis Genetic algorithms Fitness Optimization Integrals Electromagnetic fields
オンライン･アクセス:	Citation/Abstract Full Text - PDF
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その他の書誌記述
抄録:	To extend an available mono-objective optimization method to multi-objective/multi-disciplinary optimization, the construction of a suitable integral objective function (in gradient based deterministic method-DM) or fitness function (in genetic algorithm-GA) is important. An auto-adjusting weighted object optimization (AWO) method in DM is suggested to improve the available weighted sum method (linear combined weighted object optimizationLWO method). Two formulae of fitness function in GA are suggested for two kinds of design problems. Flow field solution is obtained by solving Euler equations. Electromagnetic field solution is obtained by solving Maxwell equations. Bi-disciplinary optimization computation is carried out by coupling these two solutions with a nonlinear optimization method. Numerical results show that the needed Pareto solutions can be effectively obtained by using these suggested methods to meet the original design requirements.
ISSN:	1526-1492 1526-1506
DOI:	10.3970/cmes.2004.006.567
ソース:	Advanced Technologies & Aerospace Database