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What is Offspring

Metaheuristic Approaches to Portfolio Optimization
Creating the next generation with new chromosomes.
Published in Chapter:
The Genetic Algorithm: An Application on Portfolio Optimization
Burcu Adıguzel Mercangöz (Istanbul University, Turkey) and Ergun Eroglu (Istanbul University, Turkey)
Copyright: © 2019 |Pages: 25
DOI: 10.4018/978-1-5225-8103-1.ch007
Abstract
The portfolio optimization is an important research field of the financial sciences. In portfolio optimization problems, it is aimed to create portfolios by giving the best return at a certain risk level from the asset pool or by selecting assets that give the lowest risk at a certain level of return. The diversity of the portfolio gives opportunity to increase the return by minimizing the risk. As a powerful alternative to the mathematical models, heuristics is used widely to solve the portfolio optimization problems. The genetic algorithm (GA) is a technique that is inspired by the biological evolution. While this book considers the heuristics methods for the portfolio optimization problems, this chapter will give the implementing steps of the GA clearly and apply this method to a portfolio optimization problem in a basic example.
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