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1 About half that many papers dealt with genetic algorithms.

2 The random part is what makes genetic algorithms slow.

3 The full genetic algorithm will be described below.

4 The method involved forms half of a genetic algorithm.

5 For neural nets and genetic algorithms, it is not so much fallible as crude.

6 Enthusiasts for genetic algorithms do not seem worried about this.

7 The idea of genetic algorithms is to mimic natural Darwinian selection of genetic codes.

8 Genetic algorithm is studied to optimize the flat gain.

9 At the same time, it designs the corresponding genetic algorithm in the second 4pl multi-attribute assignment and decision mechanism.

10 The genetic algorithm was applied to solute nonlinear constraint optimization problems. The optimum solution was explained in determine the nature from the craft's angle.

11 We first proposed a general genetic algorithm for task matching and scheduling in homogeneous network environments.

12 This paper presents an improved genetic algorithm(GA) based on the decimal system for hydropower station reservoir optimal operation, because binary code is liable to cause code redundancy problem.

13 With the improved Genetic Algorithm, an all-neighbor estimation algorithm with and without the target state transition probability is designed.

14 A heuristic method combined genetic algorithm and parameter linear programming is proposed to the FCLSP. A simulation example shows that the method is effective.

15 The calculation of the credit assignment in improved genetic algorithm based on machine learning.

16 Genetic algorithm, newly advanced, is used to cope with nonlinear optimization problem.

17 A genetic algorithm optimization procedurecombined with the dynamic penalty function is adopted. The constraint conditions areapproximated gradually to find the feasible and optimum solutions.

18 Genetic algorithm GA was applied to solve the scheduling model.

19 The third one, with the genetic algorithm of nature number code(sentencedict.com), it selects the best combination of manufacturing resources based on the model of the adaptive value.

20 The genetic algorithm, the parameter linear programming method and a heuristic method were used in the developed method.

21 Under the global buckling constraint condition, the configuration of grid-stiffened composite panels was optimally designed by means of genetic algorithm.

22 In the paper , optimum value of backing factor is obtained by genetic algorithm.

23 The experimental results indicate that the convergence speed of improving genetic algorithm is 5-6 times faster than the unimproved.

24 In order to enhance the robustness and adaptability of inductive logic programming(ILP) technique, genetic algorithm(GA) is used as the search strategy of ILP.

25 In order to accelerate the convergence speed and to avoid the earliness, an individual optimization and colony diversity genetic algorithm(IOCDGA) is presented.

26 Based on stochastic time and fuzzy loss in war,[www.Sentencedict.com] the model of optimal path is constructed by dependent-chance programming and a genetic algorithm is designed.

27 The precision of wave impedance inversion can be improved by applying the new genetic algorithm.

28 Based on the factor of self-adaptive weight sum and self-adaptive penalty function, a self-adaptive genetic algorithm is proposed and applied to solve multi-objective reactive power optimization.

29 For the purpose, a just in time purchasing model was established, then self-adapting genetic algorithm was used to make stochastic simulation.

30 In this paper, based on the analysis of the accelerating genetic algorithm on binary coding, a deeply discussion is made on Gray coding and accelerating genetic algorithm.