Improving Genetic Algorithms with Sharing through Cluster Analysis
Proceedings of the 5th International Conference on Genetic Algorithms
Investment Decisions Using Genetic Algorithms
HICSS '97 Proceedings of the 30th Hawaii International Conference on System Sciences: Advanced Technology Track - Volume 5
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
A model of co-evolution in multi-agent system
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Generating Robust Investment Strategies with Agent-Based Co-evolutionary System
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part III
Prediction of Interday Stock Prices Using Developmental and Linear Genetic Programming
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
Soft memory for stock market analysis using linear and developmental genetic programming
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
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The complexity of generating investment strategies problems makes it hard (or even impossible), in most cases, to use traditional techniques and to find the strict solution. In the paper the evolutionary system for generating investment strategies is presented. The algorithms used in the system (evolutionary algorithm, co-evolutionary algorithm, and agent-based co-evolutionary algorithm) are verified and compared on the basis of the results coming from experiments carried out with the use of real-life stock data.