Computational intelligence approaches and Evolutionary algorithms: A Studyfor Financial Derivatives

Vijayalaxmi, . and Adiga, Chandrashekara S and Joshi, H G and Harish, S V (2012) Computational intelligence approaches and Evolutionary algorithms: A Studyfor Financial Derivatives. International Journal of Advances in Engineering Science and Technology, 1 (2). pp. 83-91. ISSN 2319 – 1120


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The desire for optimality is inherent for humans. The search for extremes inspires mountaineers, scientists and mathematicians. A practical mathematical theory of optimization is developed since the sixties when computers became available. Every new generation of computers allows for attacking new types of problems and calls for new methods. The goal of the theory is the creation of reliable methods to catch the extreme of a function by an intelligent arrangement of its evaluations. This theory is vitally important for modern engineering and planning that incorporate optimization at every step of the complicated decision making process. Computational intelligence is a set of Nature-inspired computational methodologies. It plays a very important role in optimizing all the real time applications. In this paper, a study is made to understand how well these techniques can be used in optimizing the financial derivatives.

Item Type: Article
Additional Information: ©IJAEST
Uncontrolled Keywords: Computational Intelligence,Evolutionary AlgorithmsFinancial Derivatives,Swarm intelligence,Ant Colony timization,Option Pricing
Subjects: Engineering > MIT Manipal > Electrical and Electronics
Information Sciences > MCIS Manipal
Engineering > MIT Manipal > MCA
Depositing User: MIT Library
Date Deposited: 26 Mar 2013 11:25
Last Modified: 26 Mar 2013 11:25

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