An Improved Adaptive Genetic Algorithm for Optimizing Pyroshock Acceleration Synthesis

اسناد مشابه

• Aeroelastic Optimization of Composite Wing Based on Improved Adaptive Genetic Algorithm

  سند علمی۲۰۰۶Qiang Xiong, QIANG XIONG, DEGANG CUI

  Having the constant population size and crossover/mutation probability, standard genetic algorithm (SGA) has such disadvantages as premature convergence, low stability and optimization efficiency for large design variables situation. This paper presents an improved adaptive genet

• LSSVM Network Flow Prediction Based on the Self-adaptive Genetic Algorithm Optimization

  سند علمی۲۰۱۳JNWWenjing Liao, Z. Balzen

  In order to change the insufficiency of traditional network flow prediction and improve its accuracy, the paper proposed a kind of network flow prediction method based on the self-adaptive genetic least square support vector machine optimization. Through analyzing the individual

• Research on Public Traffic Vehicles Dispatch Based on Improved Adaptive Genetic Algorithm

  سند علمی۲۰۱۰Chuan-xiang REN, Zhen LI, Fa-sheng LIU, Chang-chang YIN

  Bus dispatching has been studied, and also the bus dispatching model is set up. Then, Genetic Algorithm is adaptively improved in order to avoid premature problem and the slow convergence, and then the keeping optimal strategy is used to the Genetic Algorithm, so formed the Impro

• An Improved Adaptive Genetic Algorithm for the Multi-depot Vehicle Routing Problem with Time Window

  سند علمی۲۰۱۳JNWChun-Ying Liu

  In order to improve the efficiency of vehicle objective, the paper addresses the problem of multi-depot vehicle routing with time window. An adaptive genetic algorithm based on the artificial bee colony algorithm is developed for the solution process of the multi-depot vehicle ro

• Tile Image Registration Based on Improved Adaptive Genetic Algorithm

  سند علمی۲۰۰۶IPCVWeiqing Li, Qun Wang, Chengbiao Wang, Guangshe Chen

  An improved adaptive Genetic Algorithm was proposed, and the method was applied to the optimization process of tile image registration. This paper improved traditional Genetic Algorithm in three aspects. The probability of crossover and mutation was adjusted in a dynamic way acco

• A Novel Clinical Decision Support System Using Improved Adaptive Genetic Algorithm for the Assessment of Fetal Well-Being

  سند علمی۲۰۱۵Comp. Math. Methods in MedicineSindhu Ravindran, Asral Bahari Jambek, M. Hariharan, Siew-Chin Neoh

  A novel clinical decision support system is proposed in this paper for evaluating the fetal well-being from the cardiotocogram (CTG) dataset through an Improved Adaptive Genetic Algorithm (IAGA) and Extreme Learning Machine (ELM). IAGA employs a new scaling technique (called sigm