Global optimization by artificial life: A new technique using genetic population evolution

In this paper, a new technique based on genetic algorithms principles is proposed for global optimization problems. This optimization technique uses concepts from population genetics such as population size, birth, death, mutation. Its main characteristic is to perform the search by working on real variables. Following the aogorithm description, experiments and results on a set of functions are provided. The ease of implementation of this new method makes it particularly useful as a tool for nonlinear unconstrained and constrained optimization problems.