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02671nam a22003735i 4500 |
| 001 |
978-3-540-77477-8 |
| 005 |
20191021172822.0 |
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cr nn 008mamaa |
| 008 |
100301s2008 gw | s |||| 0|eng d |
| 020 |
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|a 9783540774778
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| 024 |
7 |
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|a 10.1007/978-3-540-77477-8
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
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|a Natural Computing in Computational Finance
|c edited by Anthony Brabazon, Michael O'Neill.
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| 250 |
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|a 1st ed. 2008.
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| 260 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2008.
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| 300 |
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|a X, 303 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Studies in Computational Intelligence,
|v 100
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| 505 |
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|a Optimisation -- Natural Computing in Computational Finance: An Introduction -- Constrained Index Tracking under Loss Aversion Using Differential Evolution -- An Evolutionary Approach to Asset Allocation in Defined Contribution Pension Schemes -- Evolutionary Strategies for Building Risk-Optimal Portfolios -- Evolutionary Stochastic Portfolio Optimization -- Non-linear Principal Component Analysis of the Implied Volatility Smile using a Quantum-inspired Evolutionary Algorithm -- Estimation of an EGARCH Volatility Option Pricing Model using a Bacteria Foraging Optimisation Algorithm -- Model Induction -- Fuzzy-Evolutionary Modeling for Single-Position Day Trading -- Strong Typing, Variable Reduction and Bloat Control for Solving the Bankruptcy Prediction Problem Using Genetic Programming -- Using Kalman-filtered Radial Basis Function Networks for Index Arbitrage in the Financial Markets -- On Predictability and Profitability: Would GP Induced Trading Rules be Sensitive to the Observed Entropy of Time Series? -- Hybrid Neural Systems in Exchange Rate Prediction -- Agent-based Modelling -- Evolutionary Learning of the Optimal Pricing Strategy in an Artificial Payment Card Market -- Can Trend Followers Survive in the Long-Run% Insights from Agent-Based Modeling -- Co-Evolutionary Multi-Agent System for Portfolio Optimization.
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| 650 |
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0 |
|a Applied mathematics.
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| 650 |
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|a Engineering mathematics.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
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0 |
|a Economics.
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| 650 |
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0 |
|a Management science.
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| 650 |
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4 |
|a Mathematical and Computational Engineering.
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| 650 |
2 |
4 |
|a Artificial Intelligence.
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| 650 |
2 |
4 |
|a Economics, general.
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| 700 |
1 |
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|a Brabazon, Anthony.
|e editor.
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| 700 |
1 |
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|a O'Neill, Michael.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 856 |
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|u https://doi.org/10.1007/978-3-540-77477-8
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