Evolutionary Computation in Economics and Finance

Evolutionary Computation in Economics and Finance

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After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself/herself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on useful web sites, conferences, and computer software.This paper will face the question what is evolutionary in GA learning. ... means genetic algorithms that model processes of social learning via interaction within a single population of economic agents. ... and a#39;economic learninga#39; will be used as synonyms.4 4 This means that GA models of e.g. the traveling salesman problem, anbsp;...

Title:Evolutionary Computation in Economics and Finance
Author: Shu-Heng Chen
Publisher:Springer Science & Business Media - 2002-05-27

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