A Model of Stock Market Participants

Cached

Download Links

by Michael de la Maza , Deniz Yuret , Numinous Noetics Group
Citations:4 - 0 self

Active Bibliography

13 A Futures Market Simulation With Non-Rational Participants – Michael de la Maza, Deniz Yuret, Numinous Noetics Group - 1994
1 A Critique of the Standard Neural Network Application to Financial Time Series Analysis – Michael de la Maza, Deniz Yuret, Numinous Noetics Group
37 Filter Pattern Search Algorithms for Mixed Variable Constrained Optimization Problems – Mark A. Abramson, Charles Audet, J.E. Dennis Jr. - 2004
1 Large Production Line Optimisation Using Simulated Annealing – Diomidis Spinellis, Chrissoleon Papadopoulos, J. Macgregor Smith - 2000
5 IIR Model Identification Using Batch-Recursive Adaptive Simulated Annealing Algorithm – Sheng Chen - 2000
7 Prior Information and Generalized Questions – Jörg C. Lemm - 1996
1 Solving the converter placement problem in wdm ring networks using genetic algorithms – Tak-ming Chan, Sam Kwong, K. F. Man
4 Parallel Metaheuristics – Teodor Gabriel Crainic, Michel Toulouse - 1997
Hybrid Genetic Algorithms: A Review – Tarek A. El-mihoub, Adrian A. Hopgood, Lars Nolle, Alan Battersby
7 Clustering With Genetic Algorithms – Rowena Marie Cole - 1998
11 A Prescriptive Formalism for Constructing Domain-specific Evolutionary Algorithms – Patrick David Surry - 1998
7 Evolutionary Learning of Graph Layout Constraints from Examples – Toshiyuki Masui - 1994
88 Adaptive Global Optimization with Local Search – William Eugene Hart - 1994
62 GRID RESOURCE MANAGEMENT -- State of the art and future trends – Jarek Nabrzyski, Jennifer M. Schopf, Jan Weglarz
48 Memetic Algorithms for Combinatorial Optimization Problems: Fitness Landscapes and Effective Search Strategies – Peter Merz - 2001
12 Meta-heuristics: The state of the art – Stefan Voß
28 GADO: A Genetic Algorithm For Continuous Design Optimization – Khaled Mohamed Rasheed - 1998
2 Statistical Physics of Clustering Algorithms – Thore Graepel - 1998
CONNECTING ADAPTIVE BEHAVIOUR AND EXPECTATIONS IN MODELS OF INNOVATION: THE POTENTIAL ROLE OF ARTIFICIAL NEURAL NETWORKS – unknown authors