Search Results - subject:"Algorithms"

Genetic algorithms for single machine scheduling with quadratic earliness and tardiness costs

Valente, Jorge M. S.; Moreira, Maria R. A.; Singh, Alok; … - Faculdade de Economia, Universidade do Porto - 2009

machine idle time. We propose a genetic approach based on a random key alphabet, and present several algorithms based on this … well as with optimal solutions for the smaller instance sizes. The computational results show that the proposed algorithms …

Persistent link: https://www.econbiz.de/10005059506

AN ADAPTATIVE EVOLUTIONARY MODEL OF FINANCIAL INVESTORS

Ion, Boldea Bogdan; Costin-Radu, Boldea; Mircea, Stanculescu - In: Annals of Faculty of Economics 4 (2009) 1, pp. 897-901

The main purpose of the paper is to determine a general behavior of a multi-agent model capable of describing the process of deliberation of an investors group witch may repeatedly decide whether to buy or sell an asset. Each adaptive agent was modeled as

Persistent link: https://www.econbiz.de/10008512067

Vector Autoregresive Moving Average Identification for Macroeconomic Modeling: Algorithms and Theory

Poskitt, D.S. - Department of Econometrics and Business Statistics, … - 2009

algorithms which, from the perspective of macroeconomic modeling, are efficacious in that they do not use AR approximations at … any stage. Algorithms that are applicable to both asymptotically stationary and unit-root, partially nonstationary … (cointegrated) time series models are presented. A sequence of lemmas and theorems show that the algorithms are based on …

Persistent link: https://www.econbiz.de/10008491360

(String Matching Algorithms,An Applicatione ti ISAE and ISTAT Firms's Registers)

Angelis, Emma De; Pappalardo, Carmine - Istituto Nazionale di Statistica (ISTAT) - 2009

The aim of the paper is to develop algorithms for the matching of strings from two different registers of Italian … proposed algorithms. Some structural characteristics of ISAE sampled firms can be now accounted for. …

Persistent link: https://www.econbiz.de/10008518405

Modeling an Integrated Public Transportation System - a case study in Dublin, Ireland

Shrivastava, Prabhat; O'Mahony, Margaret - In: European Transport \ Trasporti Europei (2009) 41, pp. 28-46

network. Genetic Algorithms, which are known to be a robust optimization technique for this type of problem, are used in the …

Persistent link: https://www.econbiz.de/10010539031

A Collaborative GIS Solution for Public Transport

COTFAS, Liviu Adrian; CROICU, Mihai Catalin; COTFAS, Dumitru - In: Informatica Economica 13 (2009) 2, pp. 50-58

a flexible, genetic-algorithms based route-finding application. Implementation wise, the solution is based on an open …

Persistent link: https://www.econbiz.de/10009416283

Does vertical integration reduce investment reluctance in production chains? An agent-based real options approach

Balmann, Alfons; Musshoff, Oliver; Larsen, Karin - Department für Agrarökonomie, Humboldt-Universität Berlin - 2009

genetic algorithms is developed. Two production systems are compared: a perfectly integrated system and a system in which …

Persistent link: https://www.econbiz.de/10008595745

SIMULATION OF THE RELATIONSHIP BETWEEN PRICES AND AVERAGE REVENUE OF THE POPULATION USING GENETIC ALGORITHMS

BALAN, Student Ionut - In: The Annals of the "Stefan cel Mare" University of … 9 (2009) Special, pp. 249-255

inspired by biology, bearing the name of Genetic Algorithms (GA). We resorted to this method because some statistical methods … algorithms, making it possible to observe the evolution of the studied indicator and correlate him with the indicator acquired in …

Persistent link: https://www.econbiz.de/10008690151

THE USE OF NEURAL NETWORKS IN THE OPERATIONAL RISK DATA MODELING

BÃLAN, Cristian - Facultatea de Cibernetica, Statistica şi Informatica … - 2009

In this article it is presented a proposal of improving the data analysis process of Operational Risk (OpRisk) assessment in the financial institutions, for the Loss Distribution Approach (LDA) method, using the Artificial Intelligence (AI). In the first part of the paper a substitute tool of...

Persistent link: https://www.econbiz.de/10008690274

OPTIMIZING PROJECT TIME-COST-QUALITY BY USING GENETIC ALGORITHMS

BODEA, Constanta-Nicoleta; BADEA, Ileana Ruxandra - Facultatea de Cibernetica, Statistica şi Informatica … - 2009

project time-costs-quality is very complex and can be achieved by using meta-heuristic methods as Genetic Algorithms, Ant …

Persistent link: https://www.econbiz.de/10008690290