Immigration is generally considered an option in genetic algorithms, but I have found immigration to be extremely useful in almost all situations where I use evolutionary optimization. The idea of ...

In this paper, the authors solve the problem of static portfolio allocation based on historical Value at Risk (VaR) by using Genetic Algorithm (GA). VaR is a predominantly used measure of risk of ...

Evolutionary optimization (EO) is a technique for finding approximate solutions to difficult or impossible numeric optimization problems. In particular, EO can be used to train a neural network. EO is ...