The paper describes the application of Genetic Algorithms to a Resource Economics problem; the decision about the … intensity of exploitation of a renewable resource. Genetic Algorithms, developed by HOLLAND (1975), are a model of biological … some suggestions for a better adaptation of Genetic Algorithms for the purpose of economic modeling. …

individuals and then to find the Nash equilibrium in policy rules by using genetic algorithms to evolve optimal policy responses …

approaches, genetic algorithms, heterogeneity, misspecified models and experimental evidence. …

Algorithms (GAs) to model the learning behavior of a population of adaptive and boundedly rational agents interacting in an …

successive approximation linear quadratic regulator algorithm. It was found that genetic algorithms are easy to program and …

on applications to phase transitions and critical phenomena. Here, standard simulations employing local update algorithms … multigrid algorithms. The general ideas are illustrated for simple lattice spin models and Euclidean path integrals. …

We continue the study, initiated in Part I, of graphical representations and cluster algorithms for various models in …, we develop Fortuin Kasteleyn-type representations which lead immediately to Swendsen Wang-type algorithms. For other … models, e.g. the random cluster model, that are defined by a graphical representation, we develop cluster algorithms without …

we take another implementation approach; we consider parallel Monte Carlo algorithms for MI and solving SLAE in MIMD …