Search Results - subject:"Genetic algorithm"

Investigating Omitted Variable Bias in Regression Parameter Estimation : A Genetic Algorithm Approach

Sessions, David N.; Stevans, Lonnie K. - 2006

. In this study, we apply a genetic algorithm to estimate the missing variable and, using that estimated variable …

Persistent link: https://www.econbiz.de/10014059424

A TRADE NETWORK GAME WITH ENDOGENOUS PARTNER SELECTION

Tesfatsion, Leigh - 1995

conduct their trades are evolved over time via a genetic algorithm that biases reproduction in favor of strategies that have …

Persistent link: https://www.econbiz.de/10009443128

A TRADE NETWORK GAME WITH ENDOGENOUS PARTNER SELECTION

TESFATSION, Leigh - Department of Economics, Iowa State University - 1995

conduct their trades are evolved over time via a genetic algorithm that biases reproduction in favor of strategies that have …

Persistent link: https://www.econbiz.de/10005581794

Classification of Human Decision Behavior: Finding ModularDecision Rules with Genetic Algorithms

Rothlauf, Franz; Schunk, Daniel; Pfeiffer, Jella - Universität <Mainz> / Lehrstuhl für … - 2005

The understanding of human behavior in sequential decision tasks is im-portant for economics and socio-psychological sciences. In search tasks,for example when individuals search for the best price of a product, theyare confronted in sequential steps with different situations and they haveto...

Persistent link: https://www.econbiz.de/10005868125

Multiscale Representation of Agents Heterogeneous Beliefs in Analysis of CAC40 Prices with Frequency Decomposition

Hayward, Serge - Society for Computational Economics - SCE - 2005

structures and separates short and long time dynamics. The Genetic Algorithm is applied to determine the optimal decomposition of …

Persistent link: https://www.econbiz.de/10005537500

Flowshop scheduling model for bespoke precast concrete production planning

Benjaoran, Vacharapoom; Dawood, Nashwan; Hobbs, Brian - In: Construction Management and Economics 23 (2005) 1, pp. 93-105

with the flowshop scheduling technique so that an effective production plan can be arranged to meet these concerns. Genetic … algorithm is used in the scheduling optimization. Its multi-objective function includes total flowtime, total machine idle time …

Persistent link: https://www.econbiz.de/10005482495

EMERGENCE OF REGULATORY NETWORKS IN SIMULATED EVOLUTIONARY PROCESSES

DRASDO, DIRK; KRUSPE, MATTHIAS - In: Advances in Complex Systems (ACS) 08 (2005) 02, pp. 285-318

Despite spectacular progress in biophysics, molecular biology and biochemistry our ability to predict the dynamic behavior of multicellular systems under different conditions is very limited. An important reason for this is that still not enough is known about how cells change their physical and...

Persistent link: https://www.econbiz.de/10004977700

Genetic Algorithm for Optimal Operating Policy of a Multipurpose Reservoir

Ahmed, Juran; Sarma, Arup - In: Water Resources Management 19 (2005) 2, pp. 145-161

This paper presents a Genetic Algorithm (GA) model for finding the optimal operating policy of a multi …

Persistent link: https://www.econbiz.de/10010794594

Genetic Algorithms for Optimal Reservoir Dispatching

Jian-Xia, Chang; Qiang, Huang; Yi-min, Wang - In: Water Resources Management 19 (2005) 4, pp. 321-331

The fundamental guidelines for genetic algorithm to optimal reservoir dispatching have been introduced. It is concluded … that with three basic generators selection, crossover and mutation genetic algorithm could search the optimum solution or … crossover probability and mutation probability are also analyzed in this paper. Results from genetic algorithm with real …

Persistent link: https://www.econbiz.de/10010794627

Invisible hand effect in an evolutionary minority game model

Sysi-Aho, Marko; Saramäki, Jari; Kaski, Kimmo - In: Physica A: Statistical Mechanics and its Applications 347 (2005) C, pp. 639-652

In this paper, we study the properties of a minority game with evolution realized by using genetic crossover to modify fixed-length decision-making strategies of agents. Although the agents in this evolutionary game act selfishly by trying to maximize their own performances only, it turns out...

Persistent link: https://www.econbiz.de/10011058268