Random good picture Not show

31 Analyzed the characteristics of multi way graph partitioning problem, a general improving genetic algorithm which is suitable for solving the problem of the kind is presented.

32 A new effective numerical method which combines the genetic algorithm and the parameter tracking scheme is developed. The complex transcendental equation is solved successfully by using the algorithm.

33 Moreover, it outperforms the genetic algorithm in finding optimal solution and also overcomes the divergence problem caused by the Lagrangian method occurring at low demands.

34 Combine the feasible direction into genetic algorithm. This method can lead the individual to optimal solution region along feasible direction which approach the optimal solution sets.

35 Improved and debugged the optimal program based upon the simple genetic algorithm. The examples of trussed structure system optimization show that the program is feasible and valid.

36 Adaptive Genetic Algorithm( AGA ) is used to optimize the parameters of evaluation function in the gobang game problem.

37 This paper presents a Genetic Algorithm Toolbox for SCILAB(GATS), which is a scientific computing and simulation language.

38 A hybrid genetic algorithm is proposed for global optimization of nonlinear programming problems with inequality constraints.

39 A binary coded genetic algorithm based on sorting is presented and applied to null steering of linear arrays by controlling only the current phases.

40 The optimization of the midship section structure of a large crude oil carrier with genetic algorithm based on DNV rules is introduced.

41 In the job-sequencing phase, a rule coding based genetic algorithm was adopted to optimize the job sequence in each cluster.

42 A parallel horizontal overcasting genetic algorithm is presented in the paper. To reduce computing time, a dynamic load balancing is employed in the algorithm.

43 Moreover the genetic algorithm that is an advanced self-adapting random whole-optimization arithmetic also provide a guarantee for reliability and scientific ability of data operation.

44 Comparisons of optimum results between the genetic algorithm method and the traditional regression method as well as optimum seeking method were performed.

45 Many computational intelligence research fields such as artificial neural network, genetic algorithm have been applied to the solution of computing problem.

46 Float encoding method combined normalAlgorithm, and the advanced Genetic Algorithm of float encoding was brought.

47 The symbolic coding method is simple and easy to use in that the model is solved by using genetic algorithm.

48 The application of gene express genetic algorithm to optimal design of cross section of transformer core is introduced. The example is presented.

49 Direct at those characteristics, algorithms have showed high performances on solving these problems, such as simulated annealing algorithm, artificial neutral network, genetic algorithm and so on.

50 A method of bean extruder processing parameter optimization combining neural networks with genetic algorithm was presented.

51 The empirical analysis shows that computational result of this genetic algorithm is better than computational result of gradient algorithm when solving complex Portfolio model.

52 The infeasibility degree can extend the search scope of the genetic algorithm and enhance the ability of getting the optimal solutions.

53 In addition it achieves success to use the mixed genetic algorithm for hist.

54 Based on the model, combined with object weight, a genetic algorithm for manufacturing grid resources scheduling process was designed.

55 Based on the genetic algorithm idea of evolvement calculation, a control convergent matrix for routing the minimum safety factor is designed.

56 Therefor a technique using genetic algorithm to modify its fuzzy membership functions proposed.

57 This paper describes carousel order picking optimization problem in automated warehouse and a hierarchic genetic algorithm (HGA) is proposed to solve it.

58 So combined with the intelligent optimization algorithm,[Sentence dictionary] a jamming force optimization apportion model based on genetic algorithm(GA) was presented.

59 A genetic algorithm (GA) for finding all roots of complex functional equation is presented.

60 The complete stress tensor of regional stress field is obtained based on the genetic algorithm; and the result is satisfactory.