Search Results - subject:"Genetic algorithms"

Approximating and Simulating the Real Business Cycle: Linear Quadratic Methods, Parameterized Expectations, and Genetic Algorithms

McNelis, Paul; Duffy, John - EconWPA - 1997

This paper compares three approximation methods for solving and simulating real business cycle models: linear quadratic (including log- linear quadratic) methods, the method of parameterized expectations, and the genetic algorithm. Linear quadratic (LQ), log-linear quadratic (log- LQ) and...

Persistent link: https://www.econbiz.de/10005126417

The Localisation of Interaction and Learning in the Repeated Prisoner's Dilemma

Hoffmann, Robert; Waring, Nigel - Santa Fe Institute - 1996

The evolution of cooperation in the repeated prisoner's dilemma depends on the conditions under which the game is played. The results of a series of computer simulations show that the emergence of cooperative play in the game is strongly affected by the localisations of both interaction and...

Persistent link: https://www.econbiz.de/10005790817

Community Assembly in a Model Ecosystem

Hraber, Peter T.; Milne, Bruce T. - Santa Fe Institute - 1996

Environmental and biotic factors regulate species abundance and the composition of ecological communities. However, it is difficult to demonstrate principles of community assembly in nature due to observational limitations and historical effects. Numerical simulation can be used to evaluate...

Persistent link: https://www.econbiz.de/10005791054

Active Nonlinear Tests (ANTs) of Complex Simulation Models

Miller, John H. - Department of Social and Decision Sciences, Carnegie … - 1996

Simulation models are becoming increasingly common in the analysis of critical scientific, policy, and management issues.Such models provide a way to analyze complex systems characterized by both large parameter spaces and nonlinear interactions. Unfortunately, these same characteristics make...

Persistent link: https://www.econbiz.de/10005793583

Learning of cycles and sunspot equilibria by Genetic Algorithms (*)

Dawid, Herbert - In: Journal of Evolutionary Economics 6 (1996) 4, pp. 361-373

We analyze the learning behaviour of a Simple Genetic Algorithm in an overlapping generations model with one consumption good and fiat money. It is shown by simulations, that in cases where periodic equilibria exist the equilibrium of period two is learned by a Genetic Algorithm and not the...

Persistent link: https://www.econbiz.de/10005169483

Genetic algorithms and applications to finance

Kingdon, J.; Feldman, K. - In: Applied Mathematical Finance 2 (1995) 2, pp. 89-116

Genetic algorithms are a class of probabilistic optimization techniques that have proved useful in a wide variety of … problem domains. This paper offers an introduction and overview to genetic algorithms and examines some of the finance …

Persistent link: https://www.econbiz.de/10009279112

Reverse Engineering Financial Markets with Majority and MinorityGames using Genetic Algorithms

WIESINGER, Judith; SORNETTE, Didier; SATINOVER, Jeffrey

Using virtual stock markets with artificial interacting software in- vestors, aka agent-based models (ABMs), we present a method to reverse engineer real-world financial time series. We model financial markets as made of a large number of interacting boundedly rational agents. By op- timizing...

Persistent link: https://www.econbiz.de/10008922903

Simulation optimization by genetic search

Yunker, James M.; Tew, Jeffrey D. - In: Mathematics and Computers in Simulation (MATCOM) 37 (1994) 1, pp. 17-28

This is an example of simulation optimization by genetic search. We compare a new technique, genetic search, to two old techniques the pattern search and the response surface method search. The pattern search uses the Hooke–Jeeves algorithm and the response surface method search uses the...

Persistent link: https://www.econbiz.de/10010870305

Intelligent systems in finance

Konrad, Feldman; Philip, Treleaven - In: Applied Mathematical Finance 1 (1994) 2, pp. 195-207

. The techniques include expert systems, rule induction, fuzzy logic, neural networks and genetic algorithms, which in many … applications of the techniques in real world problem domains. Subsequent papers will concentrate on neural networks, genetic … algorithms, fuzzy logic and hybrid systems, and will investigate their history and operation more rigorously. …

Persistent link: https://www.econbiz.de/10009279090

The Coevolution of Automata in the Repeated Prisoner's Dilemma

Miller, John H. - Department of Social and Decision Sciences, Carnegie …

A model of learning and adaptation is used to analyze the coevolution of strategies in the repeated Prisoner's Dilemma game under both perfect and imperfect reporting. Meta-players submit finite automata strategies and update their choices through an explicit evolutionary process modeled by a...

Persistent link: https://www.econbiz.de/10005793584