This chapter reviews applications of Memetic Algorithms in the areas of business analytics
and data science. This approach originates from the need to address optimization problems …

In this paper, we propose the hybrid application of two nature inspired approaches to the
problem of Portfolio Optimization. This problem consists of the selection and weighting of …

Modelo para apresentação Page 1 1 Page 2 Geração de Diversidade na Otimização Dinâmica
Multiobjetivo Evolucionária por Paisagens de Não-Dominância Carlos Renato Belo Azevedo …

O presente trabalho descreve a aplicaçao de diversas técnicas estatısticas para a avaliaçao
da adequabilidade de dois modelos probabilısticos para a dinâmica de movimentos em um …

The purpose of this project is to implement, and analyze the performance of, a variation of a
Terrain-Based Memetic Algorithm for training a Self-Splitting Neural Network. The algorithm …

Portfolio Optimization (PO) is a resource allocation problem where real valued weights are
assigned to multiple financial assets in order to maximize the return and minimize the risk …

Genetic Algorithms (GA) are search algorithms that attempt to loosely model genetic
evolution. Practical application of GAs thus far shows their ability to succeed in the realm of …