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nonlinear parameter optimization problem

Parameter Optimization in GA for Large scale Traveling Salesman Problem

Parameter Optimization in GA for Large scale Traveling Salesman Problem

... global optimization ability, strong adaptability, robustness to solve nonlinear problems, no specific restrictions on the problem, simple calculation process, no special requirements for search ...

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Parameter Estimation of Loranz Chaotic Dynamic System Using Bees Algorithm

Parameter Estimation of Loranz Chaotic Dynamic System Using Bees Algorithm

... important problem in nonlinear science is estimation of unknown parameters in Loranz chaotic ...the parameter estimation for chaotic systems is a multidimensional continuous optimization ...

6

On the optimization of Dombi non-linear programming

On the optimization of Dombi non-linear programming

... the parameter is changed from zero to ...linear optimization problem in which the constraints are de- fined as fuzzy relational equations (FRE) with the Dombi family of ...conventional ...

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Refractivity from Clutter by Variational Adjoint Approach

Refractivity from Clutter by Variational Adjoint Approach

... complex nonlinear optimization ...this problem as a model parameter estimation issue by using some idealized refractivity models, such as the Log linear evaporation duct model, bilinear model, ...

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Anti-windup control of nonlinear cascade systems with particle swarm optimization parameter tuning

Anti-windup control of nonlinear cascade systems with particle swarm optimization parameter tuning

... the nonlinear case, considering that many physical systems such as mechanical, electrical, power systems and chemical systems can be controlled and stabilized by means of this ...control problem for cascade ...

6

Framework for the buckling optimisation of variable-angle-tow composite plates

Framework for the buckling optimisation of variable-angle-tow composite plates

... an optimization framework that employs B-splines to define the spatial variation of lamination parameters (variable ...lamination parameter variation because we only exploit the smoothness and convex ...

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An Augmented Lagrangian Algorithm for Engineering Optimization by Solving Nonlinear Programming Problem

An Augmented Lagrangian Algorithm for Engineering Optimization by Solving Nonlinear Programming Problem

... the problem (P) subject to the equality constraints g i (x) = 0 for i∈I, the condition (2*) can be written as the function of augmented Lagrangian function because the first two terms, which are called Lagragian ...

10

Simple Optimization (SOPT) for Nonlinear Constrained Optimization Problem

Simple Optimization (SOPT) for Nonlinear Constrained Optimization Problem

... and operation continues repeatedly until a final condition is met. Where, 𝑋 𝑖,𝑛𝑒𝑤 is the 𝑖 𝑡𝑕 parameter of the new solution for any iteration performed. 𝑋 𝑖,𝑏𝑒𝑠𝑡 is the 𝑖 𝑡𝑕 parameter of the best solution ...

5

An Implicit Smooth Conjugate Projection Gradient Algorithm for Optimization with Nonlinear Complementarity Constraints

An Implicit Smooth Conjugate Projection Gradient Algorithm for Optimization with Nonlinear Complementarity Constraints

... gradient projection method for MPCC is established. The smoothing factor µ regarded as a variable ensures that we can obtain an exact stationary point of original problem once the algorithm terminates in finite ...

15

Structural Design Optimization using Parameterized P-norm Based Geometric Programming Technique

Structural Design Optimization using Parameterized P-norm Based Geometric Programming Technique

... a problem with highly nonlinear constraints can be transformed equivalently into a problem with only linear ...optimization problem. Dey and Roy [18] solved two- bar truss non-linear ...

10

Timing and Parameter Optimization for One-time Motion Problem Based on Reinforcement Learning

Timing and Parameter Optimization for One-time Motion Problem Based on Reinforcement Learning

... the best control policy autonomously by interacting with the simulation environment without manual setting. The current development of a variety of intensive learning methods provides a number of tools to support this ...

8

MINING OF OUTLIER DETECTION IN LARGE CATEGORICAL DATASETS

MINING OF OUTLIER DETECTION IN LARGE CATEGORICAL DATASETS

... Outlier detection will typically be thought of as a pre-processing step for locating, throughout a data set, those objects that do not fits well-defined notions of expected behaviour. it is vital in process for locating ...

8

Advances in Bayesian Optimization with Applications in Aerospace Engineering

Advances in Bayesian Optimization with Applications in Aerospace Engineering

... challenging optimization problem. Bayesian optimization (BO) is a class of algorithms for the global optimization of expensive-to-evaluate ...the optimization toolbox of the aerospace ...

10

Eigenvalue problem for fractional differential equations with nonlinear integral and disturbance parameter in boundary conditions

Eigenvalue problem for fractional differential equations with nonlinear integral and disturbance parameter in boundary conditions

... On the other hand, the eigenvalue problems are one of the most active fields in differ- ential equation theories, and the eigenvalue problems of nonlinear fractional differential equations have been concerned by some ...

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Strict global minimizers and higher order generalized strong invexity in multiobjective optimization

Strict global minimizers and higher order generalized strong invexity in multiobjective optimization

... objective optimization problem is ...a nonlinear function are shown to be equivalent to the higher-order strict minimizers with respect to the same ...equivalent optimization problem ...

14

Study on the Moment Change at Slab-Column Joints Due to Shear Wall’s Length Variations

Study on the Moment Change at Slab-Column Joints Due to Shear Wall’s Length Variations

... S. K. Mohammed et.al studied about a comparison of structural behavior in terms of strength, stiffness and damping characteristics which is done by arranging shear walls at different locations/configurations in the ...

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Inverse eigenvalue problem for a class of Dirac operators with discontinuous coefficient

Inverse eigenvalue problem for a class of Dirac operators with discontinuous coefficient

... inverse problem of recovering the coefficient of a Dirac operator is studied from the sequences of eigenvalues and normalizing ...inverse problem is proved and a solution algorithm of the inverse ...

20

Cosine Harmony Search (CHS) for Static Optimization

Cosine Harmony Search (CHS) for Static Optimization

... Abstract— Harmony Search (HS) is the behaviour imitation of a musician looking for a balanced harmony. HS has difficulty finding the best tuning parameter, especially for Pitch Adjustment Rate (PAR). PAR plays a ...

9

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

... The rest of this paper is organized as follows. In Sect. 2, we give some preliminaries and the formulation of the solved problem. Then we propose an infeasible filter QP-free method. In Sect. 3, we show that the ...

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Auxiliary Signal Design for Fault Detection in Nonlinear Systems

Auxiliary Signal Design for Fault Detection in Nonlinear Systems

... – Chair for a special session on Process Control, Fault Detection and Tools Finally, since my research was supported by NAVSEA, part of the terms of funding was to port the MEDS algorithm developed in [11] to Matlab. It ...

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