Why You Should Consider Nature-Inspired Optimization Methods in Financial Mathematics



Especially after the success of genetic algorithms, which is influenced by the natural selection phenomenon, the last two decades have witnessed an increasing emphasis in the computer science and engineering communities on the studies about nature-inspired computing. A considerable number of algorithms mimicking some phenomena in nature have yielded a wide spectrum of applications. Algorithms in this class (genetic algorithm, genetic programming, differential evolution, particle swarm optimization, ant colony optimization, etc.), which have been developed particularly for complicated multidimensional continuous and combinatorial optimization problems, together with their current/potential applications in financial mathematics (particularly application to the portfolio optimization problem and its derivatives) constitute the main theme of this study.


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© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Electronics EngineeringAnkara UniversityAnkaraTurkey

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