1 Scheduling is a kind of important combinatorial optimization problem.

2 The static measurement is a nonlinear optimization problem.

3 The optimization problem is solved by linear programming technique.

4 The packing problem is a typical combinatorial optimization problem.

5 TSP problem is a combinatorial optimization problem.

6 Layout problem is a combinatory optimization problem.

7 This unconstrained optimization problem may be transformed into nonlinear algebraic system of equations.

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

9 The comprehensive optimization problem of transit operations with stochastic OD demands is studied by using a chance-constrained programming method.

10 Using calculus of variationS, necessary conditions of the optimization problem are developed.

11 In fact this is a Non - linear optimization problem with multiple constraints.

12 Optimal placement of switch device is a combinatorial optimization problem with reliability cost objective function.

13 This type of learning, a statistical mechanics method for solving complex optimization problems, has its basis in physics.

14 Many recent algorithms use the network modularity as quality metric, which turns the Community Detection into an optimization problem.

15 With the weighting function matrix as design parameters, the design of a control system can be expressed as a multi-objective optimization problem with inequation constraints.

16 In order to achieve the most effective results of TMD system applied in diminishing the vibrations, there exists an optimization problem such as the optimum frequency ratio and optimum damp ratio.

17 In this paper, we propose a hybrid parthenogenetic algorithm approach to solve a general resources constrained and shortest time optimization problem.

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

19 To high energy consumption of zinc electrolysis process(ZEP), the energy consumption optimization problem is discussed.

20 In the application studies of ADP methods,[] a learning algorithm solving the queueing system optimization problem and a direct adaptive optimal control method are suggested.

21 Usually, it is an iterative procedure to find a solution for fuzzy optimization problem under symmetric condition, which requires much computational effort.

22 The OC algorithm and the MMA (method of moving asymptotes) algorithm based on SIMP approach are deduced and used for the topology optimization problem of continuum structure.

23 We construct a fuzzy queueing model and introduce an optimization problem of a fuzzy queue.

24 The design of an internal toothing gear shaping cutter can be summed up to a multi—target optimization problem. A mathematic model for optimization is established.

25 The improved algorithm is applied into one kind of combinational optimization problem of construction order for underground house groups. The results of the opti...

26 Ant Colony Optimization Algorithms ( ACOAs ) were appropriate for this optimization problem.

27 IMSP and PPIGA have been combined to solve the optimization problem of the displacement restrictor parameters, which is significant for the optimization design of the shock isolation system.

28 Distribution network reconfiguration is a multi - objective , multi - constraint, discrete nonlinear combinatory optimization problem.

29 Transmission network expansion planning is a complicated, nonlinear, large - scale combinatorial optimization problem.

30 The bit and subcarrier allocation problem in the multiuser OFDM sytem is a non-linear optimization problem.

31 This paper conducts the optimization problem of arriving aircraft's schedule time arrival, in the case of aircraft landing sequence has made certain.

32 The maximum flow problem is a classical combinatorial optimization problem.

33 FEM is the most wide - used structural response analysis technology for structural optimization problem.

34 Further, the proposed ant colony algorithm was succeeded in the continuous space optimization problem through dividing the space into sub-domains and adopting the genetic operation.

35 The undamped exponential model and CLEAN method are used in the extraction algorithm to transform 1-D scattering center extraction into non-linear optimization problem with genetic algorithm.

36 This paper is concerned with a continuous-time mean-variance portfolio selection model in international securities markets that is formulated as a bi-criteria optimization problem.

37 In this paper, We prove the existence of a weak minimum for constrained vector optimization problem by making use of vector variational-like inequality and semi-preinvex functions.

38 Combining a heuristic random searching strategy with local optimal algorithms is effective solution for complex optimization problem.

39 The priority assignment problem was formulated as a combinatorial optimization problem which was targeted to achieve maximal fairness, and a solution was also provided.

40 A combined ant colony algorithm, which is based on the novel ant colony algorithm and the pattern search, was proposed to solve the continuous space optimization problem.

41 Taking into account the counteraction of the hub-airport to the flight route network, the paper presents the integrated optimization problem of one hub-airport siting and flight route network design.

42 The effectiveness of the proposed algorithm is validated through a fashion design which is a typical hybrid index optimization problem.

43 The design sensitivities are evaluated via the finite difference approximation, and optimization problem ...

44 In the optimization problem of the supporter, what we concern is the dynamic response level of the equipment.

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

46 A new gradient descent algorithm for unconstrained optimization problem is proposed.

47 Star field identification was treated as combinatorial optimization problem, and parallel genetic algorithm was used to solve it.

48 By using the generalized elimination method, the subproblem is equivalent to an unconstrained optimization problem in the null space.

49 The improved algorithm is applied into one kind of combinational optimization problem of construction order for underground house groups.

50 An improved dynamic penalty method is applied to transform the constrained structural optimization problem into an unconstrained problem for the optimization procedure using genetic algorithms.

51 It transforms the inverse problem of parameter identification into solution of optimization problem using evolutionary algorithm.

52 A new model for sea ice dynamics is developed,[] based on a novel mathematical approach treating the equations of motion as constraints in an optimization problem minimizing the pressure field.

53 Image registration then changes to the maximization of alignment metric. This is a typical multi-dimensional global parameter optimization problem.

54 Genetic algorithms ( GA ) provide an all - purpose frame work to solve complicate optimization problem.

55 In convex programming theory, a constrained optimization problem, by KT conditions, is usually converted into a mixed nonlinear complementarity problem.

56 Genetic algorithm plays an important role in solving global optimization problem.

57 Transmission network expansion planning ( TNEP ) is a complex combinatorial optimization problem.

58 Aim To study the cone subdifferential of the cone efficient solution sets for set valued vector optimization problem with perturbed order.

59 Emergency warehouse location optimization problem of emergency logistic management was discussed in detail, and the importance and necessity of the emergency warehouse establishment was analyzed.

60 The Lagrange multiplier was firstly used for solving spectrum optimization problem with the interference factor.

61 With the help with the new concept, this paper deals with the method of approximation of cone efficient solution for vector optimization problem in infinite dimension space.

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

63 Space division particle swarm optimization is proposed to solve the high-dimensional numerical optimization problem in this paper.

64 An efficient barrier conjugate gradient algorithm is developed to solve this optimization problem.

65 Linear programming (LP) model of reactive-power optimization problem is solved by the most-obtuse-angle relaxation algorithm (MRA), in which trust region constraints on linear step sizes are added.

66 Feature selection is essentially a satisfactory optimization problem in engineering applications.

67 With the help of major cone and project cone, the concept of properly major-efficient solution of multiobjective optimization problem is proposed in this paper.

68 Optimality conditions for vector optimization problem to attain strictly efficient solutions are considered in the paper.

69 To solve the global optimization problem of non-linear programming(), an improved genetic algorithm with study operator is proposed in this paper.

70 A steady state security region is used for the first time in solving a multi-objective optimization problem which takes security, economy and environmental impact into consideration.

71 The LMI optimization problem is not classic LMI solvable form, the free software SCILAB can be used to solve the LMI optimization problem with equality constraint, but MATLAB can not.

72 Then the maximum stability region is regarded as objective function, and the optimization problem is solved via a genetic algorithm GA .

73 So, the calculation of normal depth problem was converted into a nonlinear constrained optimization problem, which can be solved by the pattern search optimization method.

74 Distribution network reconfiguration problem is a large, mixed integer, nonlinear optimization problem.

75 Essentially, optimal reactive power dispatch is the multi-restraint overall optimization problem with plentiful local minima and discrete variables.

76 Design optimization of electrical machines is a nonlinear constrained and mixed - discrete multiple variables optimization problem.

77 By using them, we obtain the necessary and sufficient conditions for various kinds of efficient pairs and proper efficient pairs of unconstrained set-valued vector optimization problem.

78 In this paper, we study the scalarization over Euclidean Jordan algebra vector optimization problem.

79 Binary code usually deals with searching for optimization in Genetic Algorithms(GA). BCD code is used to solve optimization problem.

80 The new algorithm gives good performance on complex optimization problem. Therefore, it has accessional value for the field interrelated with the research.

80 is a online sentence dictionary, on which you can find excellent sentences for a large number of words.

81 A constrained optimization problem in primal weight space with incorporation of a regularization term was discussed. The dual problem was solved by using the kernel trick.

82 An explicit solution is shown to the optimization problem of an investor who wants to maximize the expected total utility from consumption with partial information.

83 This paper deals with the performance optimization problem of a class of controlled closed queueing network systems (CQNS).

84 In the paper, a varied step length LMS algorithm is adopted in space-time multiuser receiver, in which a new bierror function is used to solve the constrained optimization problem.

85 The non linear optimization problem with constraint has been solved by use of the sequential unconstrained minimization technique (SUMT).

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

87 The optimization method is adopted to convert the calculation problem of stabilizable radius of the plant family into an optimization problem.

88 Reactive power optimization is a kind of complicated nonlinear optimization problem.

89 Support new product development, new fixture mould design manufacturing, process optimization problem solving.

90 The arrange of transport time and transport line of vehicle in conventional missile turn plan is a combinatorial optimization problem when the operational plan is drawn up.

91 Bilevel optimization problem is a basic form of hierarchical level optimization problems.

92 The displacement restrictor parameter optimization of the shock isolation system is a kind of nonlinear optimization problem with the restriction.

93 We resort to a constraint programming approach to formulate and solve the optimization problem.

94 The reliability apportionment of marine power plant system is important content in the design of marine power. It often consists of nonlinear optimization problem.