Search Results - subject:"Algorithms"

Dynamic Voluntary Contribution to a Public Good:Learning to be a Free Rider

Clemens, Christiane; Riechmann, Thomas - Society for Computational Economics - SCE - 2001

This paper explores the question whether boundedly rational agents learn to behave optimally when asked to voluntarily contribute to a public good. The decision process of individuals is described by an Evolutionary Algorithm. We find that the contribution level converges towards the Nash...

Persistent link: https://www.econbiz.de/10005537778

A Presentation of Genetic Algorithms and Their Applications in Economics (in French)

Vallée, Thomas; Yildizoglu, Murat - Groupe de Recherche en Économie Théorique et … - 2001

We present the basic mechanisms of Genetic Algorithms and some significant applications of these algorithms in …

Persistent link: https://www.econbiz.de/10005545379

Using genetic algorithms to select architecture of a feedforward artificial neural network

Arifovic, Jasmina; Gençay, Ramazan - In: Physica A: Statistical Mechanics and its Applications 289 (2001) 3, pp. 574-594

This paper proposes a model selection methodology for feedforward network models based on the genetic algorithms and …

Persistent link: https://www.econbiz.de/10010873382

On the solution of mathematical programming problems with equilibrium constraints

Andreani, Roberto; Martı´nez, José Mario - In: Computational Statistics 54 (2001) 3, pp. 345-358

optimality conditions. In principle, this can cause serious difficulties for nonlinear programming algorithms applied to MPEC … programming. This is the reason why, in general, nonlinear programming algorithms are successful when applied to MPEC. Copyright …

Persistent link: https://www.econbiz.de/10010847502

Identifying non-active restrictions in convex quadratic programming

Recht, Peter - In: Computational Statistics 54 (2001) 1, pp. 53-61

Convex quadratic programming (QP) is of reviving interest in the last few years, since in connection with interior point methods Sequential Quadratic Programming (SQP) has been assessed as a powerful algorithmic scheme for solving nonlinear constraint optimization problems. In this paper we...

Persistent link: https://www.econbiz.de/10010848015

On the solution of mathematical programming problems with equilibrium constraints

Andreani, Roberto; Martı´nez, José Mario - In: Mathematical Methods of Operations Research 54 (2001) 3, pp. 345-358

Persistent link: https://www.econbiz.de/10010999548

Identifying non-active restrictions in convex quadratic programming

Recht, Peter - In: Mathematical Methods of Operations Research 54 (2001) 1, pp. 53-61

Persistent link: https://www.econbiz.de/10011000012

Using genetic algorithms and finite element methods to detect shaft crack for rotor-bearing system

He, Yongyong; Guo, Dan; Chu, Fulei - In: Mathematics and Computers in Simulation (MATCOM) 57 (2001) 1, pp. 95-108

inverse problem and not easy to tackle. In this paper, a genetic algorithms based method for shaft crack detection is proposed … utilizes genetic algorithms to search the solution. Using genetic algorithms avoids some of the weaknesses of traditional …

Persistent link: https://www.econbiz.de/10010749005

Parallel resolvent Monte Carlo algorithms for linear algebra problems

Dimov, I.; Alexandrov, V.; Karaivanova, A. - In: Mathematics and Computers in Simulation (MATCOM) 55 (2001) 1, pp. 25-35

In this paper, we consider Monte Carlo (MC) algorithms based on the use of the resolvent matrix for solving linear … algebraic problems. Estimates for the speedup and efficiency of the algorithms are presented. Some numerical examples performed …

Persistent link: https://www.econbiz.de/10010749272

Real time generation of humanoid robot optimal gait for going upstairs using intelligent algorithms

Capi, Genci; Nasu, Yasuo; Barolli, Leonard; Mitobe, Kazuhisa - In: Industrial Robot: An International Journal 28 (2001) 6, pp. 489-497

Going upstairs is a common humanoid robot task. In this paper, a genetic algorithm (GA) gait synthesis method for going upstairs and a radial basis function neural network (RBFNN) implementation, are considered. The gait synthesis is analyzed based on the minimum consumed energy and minimum...

Persistent link: https://www.econbiz.de/10014833028