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nested genetic algorithm for Resolving Overlapped Spectral Bands

Chinese Chemical Letters 2000年第7期11卷 603-604页

作者： Xiu Qi ZHANG Yun Hui ZENG Jian Bin ZHENG Hong GAO(Institute of Electroanalytical Chemistry, Northwest University, Xi’an 710069) Inst. of Electroanalytical Chemistry Northwest University Xi'an 710069 China

A nested genetic algorithm, including genetic parameter level and genetic implemented level for peak parameters, was proposed and applied for resolving overlapped spectral bands. By the genetic parameter level, parameters of generic algorithm were optimized; moreover, the number of overlapped peaks was determined simultaneously Then parameters of individual peaks were computed with the genetic implemented level.

关键词： nested genetic algorithm resolving overlapped bands spectra

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Optimization of Uncertain Structures with Interval Parameters Considering Objective and Feasibility Robustness

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Chinese Journal of Mechanical Engineering 2018年第2期31卷 124-136页

作者： Jin Cheng Zhen-Yu Liu Jian-Rong Tan Yang-Yan Zhang Ming-Yang Tang Gui-Fang Duan State Key Laboratory of Fluid Power&Mechatronic Systems Zhejiang University State Key Laboratory of CAD&CG Zhejiang University Key Laboratory of Micro-systems and Micro-structures Manufacturing of Ministry of Education Harbin Institute of Technology

For the purpose of improving the mechanical performance indices of uncertain structures with interval parameters and ensure their robustness when fluctuating under interval parameters, a constrained interval robust optimization model is constructed with both the center and halfwidth of the most important mechanical performance index described as objective functions and the other requirements on the mechanical performance indices described as constraint functions. To locate the optimal solution of objective and feasibility robustness, a new concept of interval violation vector and its calculation formulae corresponding to different constraint functions are proposed. The math?ematical formulae for calculating the feasibility and objective robustness indices and the robustness?based preferential guidelines are proposed for directly ranking various design vectors, which is realized by an algorithm integrating Kriging and nested genetic algorithm. The validity of the proposed method and its superiority to present interval optimization approaches are demonstrated by a numerical example. The robust optimization of the upper beam in a high?speed press with interval material properties demonstrated the applicability and effectiveness of the proposed method in engineering.

关键词： Robust optimization Uncertain structure Interval violation vector Feasibility robustness Objective robustness nested genetic algorithm

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Aerial Cooperative Combination Formation Method of Manned/Unmanned Combats Agents

Aerial Cooperative Combination Formation Method of Manned/Un...

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2013年中国智能自动化学术会议

作者： Lujun Wan Peiyang Yao School of Information and Navigation Air Force Engineering University

Aerial cooperative combination formation(ACCF) become a new problem when the manned/unmanned combat agents task coalition performing the air-air *** problem of ACC formation focuses on the method to allocate the weapon units,guidance units and targets in a time-slack in order to maximize the effectiveness of the task *** to the operational context,a constrained optimization model was proposed for the problem and a novel nested genetic algorithm(NGA) was designed to solve the *** NGA,the outer-loop of GA searched for the best weapon-guidance combination and the inner-loop of GA searched for the best weapon-target *** to discrete characteristics of the problem,the coding rules,crossover operators and mutation operators was specially *** results show that the proposed algorithm can solve the three-dimensional ACCF problem effectively.

关键词： Manned/unmanned combat agents Cooperative combination nested genetic algorithm Constraint optimization

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