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, 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,[] 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.

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.

61 The experimental result shows that the improved genetic algorithm not only solves the"premature"problem of classic genetic algorithm, but also avoids the blind search of classic genetic algorithm.

62 It is preliminarily tested and verified thereby that genetic algorithm is an effective method for estimating the parameters of the saccade oculomotor system.

63 Firstly, We present a genetic algorithm for the incidence coloring on graphs and Steiner tree problem.

64 Based on the in-depth analysis of genetic algorithm and simplex algorithm and with the combination of the two, the paper proposes the simplex immune hybrid algorithm.

65 To optimize FGFJSP, an individual optimization and colony diversity genetic algorithm (IOCDGA) is presented to accelerate the convergence speed and to avoid the earliness.

66 The crossover operation and mutation operation of decimal code genetic algorithm and its application in the optimal problem of nonlinear function are discussed in detail.

67 According to specific randomicity, ergodicity and regularity of chaos movement and complete searching characteristic of genetic algorithm, chaos-genetic hybrid algorithm is developed.

68 The parallel restricted genetic algorithm based on shared memory is discussed.

69 In this paper, based on the analysis of the genetic algorithm on binary coding, a preliminary discussion is made on the genetic algorithm of natural number coding.

70 A heuristic method combined genetic algorithm and parameter linear programming is proposed to the FCLSP.

71 This paper discusses multiple objective parameter optimization under a certain constraint condition through genetic algorithm.

72 Genetic Algorithm simulates natural evolutionary processes, though retaining a population of candidate solution to search multi - direction.

73 An optimization method based on genetic algorithm for Ball Mill Pulverizer System's operation was proposed.

74 To search all optimal solutions(global minimum), this paper brings forward a bubbling and selecting the best genetic algorithm.

75 Experimental results show that this circuit status difference based genetic algorithm can achieve satisfied leakage power reduction, and runtime is reasonable.

76 The adaptive updating of the weight represents the evolution of agent's behavior, which is realized by the evolution of forecast rules with Genetic Algorithm (GA) and Generation Function (GF).

77 This paper proposes an adaptive weight genetic algorithm to optimize the swim-out torpedo tube design, which is nonlinear and multi-objective optimization problem.

78 This method utilizes genetic algorithm to solve the problem of parametric optimization a nonlinear control system.

79 Genetic algorithm searches global optimum solution easily, but its local search optimization ability is poor and premature convergence and random main can easily take place.

80 A genetic algorithm(GA) assisted beamforming algorithm is applied to a 2-dimensional circular antenna array, and its performance of pattern nulling is studied.

81 Based on the Codes of Technique of Door-type Steel Support Structure for Light Houses, in this paper, the genetic algorithm method was applied to the optimum design of H-shaped purlin.

82 In the Genetic Algorithm, penalty function is often used to deal with constrains.

83 Finally, a relations of slope stability factor of safety with the slope of the parameters was discussed by using the genetic algorithm optimization model which is mentioned above.

84 The optimization model of parameter design for control chart was constructed to monitor the quality of production process, and it was solved by genetic algorithm.

85 Then the KM multiple set operation expression is optimized based on the improved hybrid genetic algorithm, and the procedure of the KM's automatic construction is also presented.

86 A genetic algorithm is used to solve this stochastic programming model.

87 Traveling Salesman Problem (TSP) is a typical NP—Complete problem. Genetic Algorithm (GA) isa global optimal searching algorithm based on the biological evolutionism.

88 Combined with the gradient search,[] a hybrid genetic algorithm is formed to overcome the local minimum of the gradient search and the slowness of convergence rate of simple genetic algorithms.

89 Genetic algorithm is applied to solve distillation separation sequence synthesis problems which are characteristics of combination explosion.

90 Traditional genetic algorithm is a multi-point search and cross-operation technology, effectively used in the test case generation.

91 We solved the problem of homogenous landmarks in the procedure of medical image registration via deformable contour model, and genetic algorithm (GA) was used to search the optimal results.

92 In allusion to the conflict in solving the precision and constringency speed in genetic algorithm, this paper advances a kind of a new genetic algorithm for self adaptation, symmetry and congruity.

93 In the proposed, the genetic algorithm (GA) based optimal excitation control technology is applied to the excitation of DC generator, thu.

94 The model was applied in load forecasting of a certain area and was compared with two other comprehensive models based on genetic algorithm and direct search method respectively.

95 According to the train simulation system, combined with genetic algorithm theory, the paper bring genetic algorithm into optimization of train control scheme successfully.

96 In order to obtain an economical. high-effective and low-loss primary route, this paper leads genetic algorithm into primary routing system as a searching mechanism.

97 After that, a mixed-integer programming mode is proposed, the optimal target is to minimize the whole city logistic fees, and the model is solved by genetic algorithm.

98 Genetic Algorithm(GA) has been shown to be an effective strategy in the off-line optimization, which is fit for designing shaped-beam antenna array.

99 The test of function makes clear that it can reach better ability of searching optimum and better effect of avoiding premature convergence compared with the Genetic Algorithm with sex character.

100 Results Genetic algorithm optimization of beam weights can produce highly conformal dose distributions within a clinically acceptable computation time.

101 The algorithm for the digital character of cluster analysis of genetic algorithm, relatively new.

102 To improve the speed and efficiency of combinational logic circuit design, this paper presented a Game Genetic Algorithm (GGA). In GGA, each output of the circuit was regarded as a player.

103 The Genetic Algorithm (GA) is a kind of global optimal searching algorithm based on Darwin's nature evolution theory and Mendel's genetics and mutation theory.

104 Much antilogy and means have been brought forward aiming at vehicle routing problem based on genetic algorithm. Although some experiment results are attained, a lot of space is required to fill.

105 In addition, the zoom control of fitness amends the genetic algorithm in search of optimal codes.

106 Genetic algorithm is employed as an inverse operator to determine the parameters of the discrete beams. This method has three advantages. First, it simplifies the process of creating the leaf model.

107 Frequency assignment problems are NP-complete. An immune genetic algorithm is proposed to solve them, which is based on the immune regulation mechanism.

108 A general nonlinear programming model and a genetic algorithm (GA) optimization procedure for electrical design of airborne radomes are presented in this paper.

109 In the first stage, which is called structure identification stage, the selection of network structure and initial parameters is carried out by float genetic algorithm instead of human.

110 First, the deadlock problem and its graph theory representation is introduced. Then based on the effective genetic algorithm (GA) search method, the graph theory is introduced to assure deadlock-free.

111 In the design, methods of crossover point storage, mutation rollback and segment and step to reduce the dimension are used to improve the execution speed of genetic algorithm.

112 Genetic algorithm was used in the route planning, and an encoding mode for expanding the way point and planning space with variable steps was designed.

113 Genetic algorithm is used to solve the optimization problem with respect to C, and deterministic algorithm is used to obtain the constraints of problem.

114 Simulation result shows that the broadband matching network has good electronic capability and the genetic algorithm is effective in broadband matching network.

115 A genetic algorithm with global constringency does not need to acquire the gradient and can be easily adapted to solve the large-scale assembling optimization method.

116 A double population genetic algorithm (DPGA) is presented and applied to synthesize the array antenna pattern by controlling only the current amplitudes.

117 Then, we propose a genetic algorithm based method,[http:///genetic algorithm.html] which is used to explore the optimal removal of some redundant vias to get a conflict-free bipartite graph for double via insertion.

118 The feasibleness and effectiveness of the proposed genetic algorithm in path planning for multi-mobile robot is demonstrated by simulation.

119 The genetic algorithm , which combined with penalty function method, improved the local - search properties.

120 Good-point based Genetic Algorithm is a more efficient method based on Genetic Algorithm theory.

121 For the complicated chance constrained model with multiple stochastic variables, a genetic algorithm incorporated with stochastic simulation is used to obtain reasonable solutions to problems.

122 It is pointed that the scheduling made by genetic algorithm gained lowest cost and highest support level, greedy algorithm and SPT rule are better than FCFS rule, LPT rule is worst here.

123 And control performance factor is employed in adaptability function of genetic algorithm in order to realize the configuration of adjustable factors according to control expectation.

124 Using a genetic algorithm coded by MATLAB, the nonlinear programming problem was calculated.

125 Hill Climbing Wuth Genetic Algorithm Source Code complete source code, has been tested.

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