An Improved Genetic Algorithm for Selection of IT Investment Projects with a Portfolio Problem Approach

• DOI: 10.4156/aiss.vol5.issue3.37
• Publication Date: 2013-02-15T01:34:47Z
• Authors: Manuel Tupia -; Rony Cueva -; Miguel Guanira -
• Keywords: Investment

The decision to invest in one of the most critical activities within any business strategy and is usually based on application a set economic financial analytical tools various other project evaluation techniques. Specifically when nature investment includes issues related information technologies (such acquisition, maintenance development, etc.), unfavorable scenarios arise because it considered that above instruments not properly applied such projects. indiscriminate use technology (IT) does result benefit company: get value only if you choose works best for IT terms efficiency, higher rates profit, as well cost reduction intended withstand processes. This paper shows an bio-inspired evolutionary computing, which characterized simulation techniques using living things survive evolve nature, genetic algorithms. With this tool will seek resolve selecting projects problem, variant well-know portfolio problem. Genetic algorithms are simulating concepts inheritance, chromosomal representation, natural selection evolutions, making possible combinations converge optimal solutions.