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complex nonlinear optimization problem

Refractivity from Clutter by Variational Adjoint Approach

Refractivity from Clutter by Variational Adjoint Approach

... a 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 ...

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Complex Analysis Methods Related an Optimization Problem with Complex Variables

Complex Analysis Methods Related an Optimization Problem with Complex Variables

... programming problem was studied first by Levinson [10] (in 1966) who consid- ered the linear programming in complex ...in complex space. Hence after complex fractional program- ming problems ...

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Optimization of Complex Function Variable

Optimization of Complex Function Variable

... swarm optimization technique can ever solve complex function programming problem ...in nonlinear and nonanalytic fractional objective ...the problem defined function to be ...

6

Magnetic localization and orientation of the capsule endoscope based on a random complex algorithm

Magnetic localization and orientation of the capsule endoscope based on a random complex algorithm

... important problem is the localization of the ...propose nonlinear optimization algorithms using a random complex algorithm, applied to the optimization calculation for the ...

10

Moga tuned pi fuzzy logic control for 3 phase induction motor with energy efficiency for electric vehicle application

Moga tuned pi fuzzy logic control for 3 phase induction motor with energy efficiency for electric vehicle application

... its complex mathematical model and its nonlinear ...this problem. To overcome this problem a nonlinear PI- fuzzy logic controller and the used of MOGA optimization to minimizing ...

5

An Algorithm for the Circle-packing Problem via Extended Sequence-pair with Nonlinear Optimization

An Algorithm for the Circle-packing Problem via Extended Sequence-pair with Nonlinear Optimization

... circle-packing problem is to formulate the problem as a nonlinear programming problem and solve it by some nonlinear optimization ...very complex, and obtaining the ...

6

#4 pdf

#4 pdf

... many complex nonlinear classification ...primal problem is empty, and thus the corresponding dual problem is an unbounded objective ...the optimization problem ...

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MOGA tuned pi fuzzy logic control for 3 phase induction motor with 
		energy efficiency for electric vehicle application

MOGA tuned pi fuzzy logic control for 3 phase induction motor with energy efficiency for electric vehicle application

... its complex mathematical model and its nonlinear ...this problem. To overcome this problem a nonlinear PI- fuzzy logic controller and the used of Multi objective Genetic Algorithm ...

6

Economic Dispatch of Power System Optimization with Power Generation Schedule Using Evolutionary Technique

Economic Dispatch of Power System Optimization with Power Generation Schedule Using Evolutionary Technique

... function optimization before solving a power system planning ...dispatch problem (EDP) of electric power generation, whose characteristics are complex and highly nonlinear, is to schedule the ...

8

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 ...represent complex geometries (variations) using relatively few design ...the ...

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Optimization as an analysis tool for human complex decision making

Optimization as an analysis tool for human complex decision making

... a problem class of mixed-integer nonlinear programs (MINLPs) with nonconvex continuous relaxations which stem from economic test scenarios that are used in the analysis of human complex ...

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Ingeniería y Universidad ISSN: Pontificia Universidad Javeriana Colombia

Ingeniería y Universidad ISSN: Pontificia Universidad Javeriana Colombia

... of nonlinear equations with real and/or complex roots. The problem of solving directly such systems was transformed into an optimization one, which was solved using a specially modified par- ...

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III.T HE GAUSSIAN ELIMINATION

III.T HE GAUSSIAN ELIMINATION

... of Nonlinear Programming Problems is usually solved iteratively, and the solution to the SEL is only a relative movement of the current point in the solution ...

5

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

... smooth optimization problem with smooth inequality ...the nonlinear complementarity problem for the Karush–Kuhn–Tucker optimality ...the nonlinear complementarity problem in the ...

14

NBI-RPRGM for Multi-objective Optimization   Design of Bio-Processes

NBI-RPRGM for Multi-objective Optimization Design of Bio-Processes

... multi-objective optimization problems arising from the domain of the design of nonlinear ...of nonlinear programming subproblems of multi objective optimization using the recent Normal ...

11

The Best Piecewise Linearization of  Nonlinear Functions

The Best Piecewise Linearization of Nonlinear Functions

... of nonlinear functions is useful for many applications, especially for nonlinear nonsmooth optimization, nonlinear differen- tial equations, fuzzy ODE and PDE differential equations and so ...

8

Joint Allocation of Computational and Communication Resources to Improve Energy Efficiency in Cellular Networks

Joint Allocation of Computational and Communication Resources to Improve Energy Efficiency in Cellular Networks

... (with complex computing) to the cloud server ...the problem of the optimum offloading is considered as an optimization problem with optimization parameters including communication ...

7

A New Lagrangian Multiplier Method on Constrained Optimization

A New Lagrangian Multiplier Method on Constrained Optimization

... solving nonlinear programming problems with equality constrained and inequality ...constrained problem and corresponding values of Lagrange multipliers can be found by solving an uncon- strained ...

6

Advances in Bayesian Optimization with Applications in Aerospace Engineering

Advances in Bayesian Optimization with Applications in Aerospace Engineering

... The first algorithm, rollout, selects the next design to evaluate in order to maximize the expected feasible improvement obtained over several steps. It allows for the optimization of systems subject to ...

10

On quasi-variational inclusion and fixed point problems in Hilbert spaces

On quasi-variational inclusion and fixed point problems in Hilbert spaces

... In this paper, we introduce an general iterative algorithm for finding a common element of the set of common fixed points of an infinite family of nonexpansive mappings and of the set of solutions to the inclusion ...

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