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Evolutionary Computing: Principles and Applications to Portfolio Optimization

Evolutionary Computing: Principles and Applications to Portfolio Optimization
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Author(s): Paramartha Dutta (Visva-Bharati University, India), Paramita Bhattacharya (Yousuf Institution for Girls, India) and Siddhartha Bhattacharyya (The University of Burdwan, India)
Copyright: 2012
Pages: 25
Source title: Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions
Source Author(s)/Editor(s): Mohammad Ayoub Khan (Centre for Development of Advanced Computing, India) and Abdul Quaiyum Ansari (Jamia Millia Islamia, India)
DOI: 10.4018/978-1-4666-0294-6.ch012

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Abstract

The field of evolutionary computation forms one of the tenets of the soft computing paradigm, which aims at deriving at some possible global optimal solutions to search problems. The field of industrial informatics, being an emergent field, faces tremendous data explosion and associated challenges of data redundancies and inconsistencies. Different evolutionary algorithms have been put to use to evolve intelligence out of redundancies immanent in industrial databases. Industrial portfolio management has been a much-talked affair nowadays, thanks to the evolving fields of data intelligent management and archival techniques. An overview of the different facets of evolutionary algorithms and their role in imbibing human intelligence in data management and retrieval is presented with regards to its application in the optimization of a collection of financial portfolio instruments.

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