An anti-adaptationist approach to genetic algorithms

Most current implementations of the Genetic Algorithm (GA) closely follow an Adaptationist theory of evolutionary biology. This approach impedes finding a solution or leads to the reduction of robustness in solutions. In this paper, we show how an Anti-Adaptationist approach to GAs would more closely follow biological example, and aid in finding satisfactory solutions to systems that must operate in dynamic environments, or that have many complex and interdependent features. We then explain necessary modifications to the GA to implement these changes