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nonlinear programming based method

Self-Tuning Method of PID Parameters Based on Belief Rule Base Inference

Self-Tuning Method of PID Parameters Based on Belief Rule Base Inference

... ly nonlinear relationships between the variables of control system and PID ...this nonlinear relationship with sampling time, the online optimi- zation method via sequential linear programming ...

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Applying queuing theory for a reliable integrated location –inventory problem under facility disruption risks

Applying queuing theory for a reliable integrated location –inventory problem under facility disruption risks

... heuristic based on Lagrangian ...mixed-integer nonlinear problems for joint inventory and location decisions under part service level requirements and part ...extremely nonlinear time-based ...

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A Note on Convergence Analysis of an SQP Type Method for Nonlinear Semidefinite Programming

A Note on Convergence Analysis of an SQP Type Method for Nonlinear Semidefinite Programming

... SQP-type method and then prove that the SQP-type method proposed in 2 is globally ...is based on the strong second-order sufficient condition, which is weaker than the conditions used in 1, 2 ...

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An efficient nonlinear programming method for eliciting preference weights of incomplete comparisons

An efficient nonlinear programming method for eliciting preference weights of incomplete comparisons

... a method for determining the weights for such incomplete ...heuristic method had no proof for reaching the optimum minimum error, its main advantage was its capability to handle PCMs with several missing ...

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A new filter QP free method for the nonlinear inequality constrained optimization problem

A new filter QP free method for the nonlinear inequality constrained optimization problem

... infeasible method for minimizing a smooth function subject to some inequality ...This method is based on the solution of nonsmooth equa- tions which are obtained by the multiplier and the ...

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An Evolutionary Algorithm Based on a New Decomposition Scheme for Nonlinear Bilevel Programming Problems

An Evolutionary Algorithm Based on a New Decomposition Scheme for Nonlinear Bilevel Programming Problems

... bilevel programming problem and some conceptions are presented in Section 2, and a solution method of the fol- lower’s problem is given based on a decomposition scheme in Section ...

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Equilibrium solution of non-cooperative multiobjective bimatrix game of Z-numbers   Pages 437-450
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Equilibrium solution of non-cooperative multiobjective bimatrix game of Z-numbers Pages 437-450 Download PDF

... defined based on goals for each mixed strategy, and a model based on nonlinear programming was suggested to achieve the highest degree of achieving the aggregated goal, resulting from ...

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An Objective Penalty Functions Algorithm for Multiobjective Optimization Problem

An Objective Penalty Functions Algorithm for Multiobjective Optimization Problem

... a method for interactive multiple objective linear programming by assuming an unknown pseudo concave utility function satisfying cer- tain general properties ...criteria nonlinear programming ...

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A Novel Method of Dynamic Programming for the Adaptive Optimal Control of Nonlinear Systems

A Novel Method of Dynamic Programming for the Adaptive Optimal Control of Nonlinear Systems

... According to the equivalence between SOS programs and SDPs, the SOS-based policy iteration can be reformulated as SDPs [16] [17]. Notice that we can always find two linear mappings : R n2r x R m x nr R n2d and : R ...

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Transformation methods in nonlinear programming

Transformation methods in nonlinear programming

... Newton's method and the quasi-Newton methods (see Chapter 5), the latter being based, theoretically, on properties of the quadratic form with symmetric positive definite Hessian ...

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Hydrogen Distribution in Refinery with Nonlinear Programming

Hydrogen Distribution in Refinery with Nonlinear Programming

... This method is based on optimizing a reducible superstructure and may be illustrated with a simple example already used by N. Hallale [11,12]. There are two hydrogen consumers (A and B) and a hydrogen plant ...

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Optimizing location, routing and inventory decisions in an integrated supply chain network under uncertainty

Optimizing location, routing and inventory decisions in an integrated supply chain network under uncertainty

... a nonlinear integer-programming model and solved it by using a Lagrangian relaxation based solution ...integer nonlinear program and a presented a heuristic method based on a ...

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Programming First Integral Method General Formula for the Solving Linear and Nonlinear Equations

Programming First Integral Method General Formula for the Solving Linear and Nonlinear Equations

... study nonlinear phenomena, in solving modified KdV-kp can be based on the theory of commutative algebra, using the first integral method technique to solving linear and nonlinear ...

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Web-based Application Programming Interface to Solve Nonlinear Optimization Problems

Web-based Application Programming Interface to Solve Nonlinear Optimization Problems

... unconstrained Nonlinear Optimization Problems has been implemented and successfully tested using local and remote ...any programming language,as long as it has support do Web ...application based on ...

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Random Search as the Method of Nonlinear Programming. Algorithms of Random Search

Random Search as the Method of Nonlinear Programming. Algorithms of Random Search

... We formulate the task of search engine optimization as a multi-step process of gathering information and making a decision based on the information received. For this purpose, we shall introduce the concept of ...

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A Modified Interactive Stability Algorithm for Solving Multi Objective NLP Problems with Fuzzy Parameters in Its Objective Functions

A Modified Interactive Stability Algorithm for Solving Multi Objective NLP Problems with Fuzzy Parameters in Its Objective Functions

... modified method to solve multi-objective nonlinear programming problems with fuzzy parameters in its objective functions and these fuzzy parameters are characterized by fuzzy ...modified ...

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A signed distance method for solving multi-objective transportation problems in fuzzy environment

A signed distance method for solving multi-objective transportation problems in fuzzy environment

... Linear Programming (FLP) problem to obtain a reasonable solution under consideration of the ambiguity of ...Linear Programming (MOLP) ...interactive method for solving MOLP problem. Bit et al. [2] ...

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Hybrid Smart Grid Connected Photovoltaic and Fuel System

Hybrid Smart Grid Connected Photovoltaic and Fuel System

... conditions. Based on the benchmark solid oxide fuel cell (SOFC) dynamic model for power system studies and the analysis of the SOFC operating conditions, the nonlinear programming (NLP) optimization ...

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A Quality of Service (QoS) Driven Automatic Service Composition Algorithm

A Quality of Service (QoS) Driven Automatic Service Composition Algorithm

... From the left graph in Figure 4, we demonstrated the performance of our method together with Yan and Peter’s as the number of parameter ontologies increases. It can be seen in the left figure that the composition ...

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A Linear Programming Based Method for Job Shop Scheduling

A Linear Programming Based Method for Job Shop Scheduling

... The TI formulation terminates with an optimal solution in 59 out of 100 cases. Among these 59 cases, SB-TPD-OptimalSubprob and SB-TPD-HeuristicSubprob identify 19 and 5 optimal solutions, respectively. Over all 100 ...

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