Data Mining and Knowledge Discovery
Evolving Market Index Trading Rules Using Grammatical Evolution
Proceedings of the EvoWorkshops on Applications of Evolutionary Computing
Genetic Commerce - Intelligent Share Trading
ICCS '02 Proceedings of the International Conference on Computational Science-Part III
An Unsupervised Clustering with Evolutionary Strategy to Estimate the Cluster Number
Proceedings of the 6th International Conference on Computational Intelligence, Theory and Applications: Fuzzy Days
A Learning Classifier Systems Bibliography
Learning Classifier Systems, From Foundations to Applications
A Bigger Learning Classifier Systems Bibliography
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
An Agent-Based Soft Computing Society
RSCTC '00 Revised Papers from the Second International Conference on Rough Sets and Current Trends in Computing
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Generating trading rules on the stock markets with genetic programming
Computers and Operations Research
Toward Global Optimization of Case-Based Reasoning Systems for Financial Forecasting
Applied Intelligence
EDDIE-automation, a decision support tool for financial forecasting
Decision Support Systems - Special issue: Data mining for financial decision making
Applying rough sets to market timing decisions
Decision Support Systems - Special issue: Data mining for financial decision making
The image analysis system with Adaptive Component
ISICT '04 Proceedings of the 2004 international symposium on Information and communication technologies
Computational intelligence in economics and finance: carrying on the legacy of Herbert Simon
Information Sciences: an International Journal - Special issue: Computational intelligence in economics and finance
Improving Portfolio Efficiency: A Genetic Algorithm Approach
Computational Economics
Piecewise nonlinear goal-directed CPPI strategy
Expert Systems with Applications: An International Journal
A recommender system using GA K-means clustering in an online shopping market
Expert Systems with Applications: An International Journal
Review: Expert systems and evolutionary computing for financial investing: A review
Expert Systems with Applications: An International Journal
Improving technical trading systems by using a new MATLAB based genetic algorithm procedure
NOLASC'05 Proceedings of the 4th WSEAS International Conference on Non-linear Analysis, Non-linear Systems and Chaos
RETRACTED: Investigating the efficiency in oil futures market based on GMDH approach
Expert Systems with Applications: An International Journal
An Introduction to Natural Computing in Finance
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
Expert Systems with Applications: An International Journal
An heterogeneous, endogenous and coevolutionary GP-based financial market
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
A hybrid forecast marketing timing model based on probabilistic neural network, rough set and C4.5
Expert Systems with Applications: An International Journal
Artificial neural networks with evolutionary instance selection for financial forecasting
Expert Systems with Applications: An International Journal
Designing wastewater collection systems using genetic algorithms
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Mining associative classification rules with stock trading data - A GA-based method
Knowledge-Based Systems
Portfolio selection based on technical trading rules optimized with a genetic algorithm
INES'10 Proceedings of the 14th international conference on Intelligent engineering systems
Satellite-derived land-cover classification using immune based mining approach
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Improving technical trading systems by using a new MATLAB-based genetic algorithm procedure
Mathematical and Computer Modelling: An International Journal
Simultaneous optimization of artificial neural networks for financial forecasting
Applied Intelligence
AIMSA'12 Proceedings of the 15th international conference on Artificial Intelligence: methodology, systems, and applications
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
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From the Publisher:More and more traders now rely on genetic algorithms, neural networks, chaos theory, and other computerized decision-making approaches to help them develop winning investment strategies. They recognize that the battle in today's financial markets is increasingly being waged at computer speed, not human speed, and that anyone who fails to exploit these new tools may be headed for extinction. Written by the coauthor of the first published paper to link genetic algorithms and the world of finance, Richard Bauer's Genetic Algorithms and Investment Strategies is, likewise, the first book to demonstrate the value of GAs as tools in the search for effective trading ideas. Recognizing the continued resistance of many traders and analysts to GAs, it shows how these approaches do not herald an age in which people will be supplanted by machines, revealing instead how they serve only to augment human thinking. In clear, nontechnical language, Genetic Algorithms and Investment Strategies describes the biological bases of GAs, neural nets, and chaos theory...their historical development...the current state of the methodology for each...and their uses, advantages, and limitations as decision-making tools in the world of finance, ultimately demonstrating the superiority of GAs over the other two methods, particularly in handling critical optimization problems. It then focuses exclusively on GAs, presenting simple problems to illustrate the basic steps involved in using a GA and describing - with the help of numerous tables and diagrams - how the GA mimics nature's ruthlessly efficient evolutionary process and moves quickly and inexorably toward a near-optimal solution. Complete with a summary of available software programs, an extensive glossary of GA terms, and a bibliography covering GAs, neural nets chaos theory, and market timing, Genetic Algorithms and Investment Strategies doesn't offer a results-oriented, get-rich-quick scheme. Rather, it provides traders and investment