نتایج جستجو برای: inverse optimization

تعداد نتایج: 403669  

2003
Margie A. Hunt Chandra M. Burman

Introduction ...........................................................103 IMRT or 3DCRT? ...................................................105 The MSKCC IMRT Planning Process....................107 Patient Selection • Patient Simulation And Structure Localization • Selection Of Beam Energy, Number, And Direction • Optimization • Conversion Of Intensity Profiles To Leaf Motion • Forward Dose ...

2004
Erik Abenius

The thesis addresses time-domain inverse electromagnetic scattering for determining unknown characteristics of an object from observations of the scattered field. Applications include non-destructive characterization of media and optimization of material properties, for example the design of radar absorbing materials. Another interesting application is the parameter optimization of subcell mode...

Journal: :J. Comput. Physics 2017
Pedro R. S. Antunes Cristian Barbarosie Anca-Maria Toader

We consider the numerical solution of an inverse problem of finding the shape and location of holes in an elastic body. The problem is solved by minimizing a functional depending on the eigenvalues and traces of corresponding eigenmodes. We use the adjoint method to calculate the shape derivative of this functional. The optimization is performed by BFGS, using a genetic algorithm as a preproces...

2014
Riccardo Falconi Raffaele Grandi Claudio Melchiorri

In this paper, a new Behavioral-based Particle Swarm Optimization algorithm is proposed in order to solve the inverse kinematics problem for a manipulator operating in an environment cluttered with obstacles. The introduced variant of the Particle Swarm Optimization relies on the idea of dividing the population of the particles in subgroups, each of which with a specific task, achieving in this...

2009
Elisabeth Gassner

We study the computational complexity of some special partial inverse combinatorial optimization problems where the goal is to change a parameter at minimum cost such that there exists an optimal solution for the underlying combinatorial optimization problem with respect to the modified parameter that does not contain a prespecified set of forbidden elements. We show that the partial inverse pr...

Journal: :J. Intellig. Transport. Systems 2015
Jörg Dallmeyer René Schumann Andreas D. Lattner Ingo J. Timm

Traffic routing is a well established optimization problem in traffic management. We address here dynamic routing problems where the load of roads is taken into account dynamically, aiming at the optimization of required travel times. We investigate ant-based algorithms that can handle dynamic routing problems, but suffer from negative emergent effects like road congestions. We propose an inver...

Journal: :J. Comb. Optim. 2004
Clemens Heuberger

Given a (combinatorial) optimization problem and a feasible solution to it, the corresponding inverse optimization problem is to find a minimal adjustment of the cost function such that the given solution becomes optimum. Several such problems have been studied in the last ten years. After formalizing the notion of an inverse problem and its variants, we present various methods for solving them...

2012
D. Doria K. F. Kakolee S. Kar S. K. Litt F. Fiorini H. Ahmed S. Green J. C. G. Jeynes J. Kavanagh D. Kirby K. J. Kirkby C. L. Lewis M. J. Merchant G. Nersisyan R. Prasad K. M. Prise

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2010
Norsinnira Zainul Azlan

Problem statement: Underactuated finger mechanism is beneficial in the anthropomorphic applications in which it reduces the finger size, weight and power consumption due to the less number of actuators compared to its number of Degree Of Freedom (DOF). However, the currently existing underactuated finger is limited to grasping operations only and unable to pinch with the finger tip. Moreover, t...

2011
K. Koray Ayten Pejman Iravani M. Necip Sahinkaya

This paper presents a method for developing robot trajectories that achieve minimum energy consumption for a point-to-point motion under kinematic and dynamic constraints. The method represents trajectories as a fourth degree B-spline function. The parameters of the function are optimised using a multi-parametric optimization algorithm. Actuator torques have been considered for the formulation ...

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