Title :
An anti-adaptationist approach to genetic algorithms
Author_Institution :
Artificial Intelligence Programs, Georgia Univ., Athens, GA, USA
Abstract :
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
Keywords :
genetic algorithms; heuristic programming; search problems; anti-adaptationist approach; dynamic environments; evolutionary biology; genetic algorithms; heuristic search method; Artificial intelligence; Convergence; Evolution (biology); Genetic algorithms; Genetic mutations; Impedance; Knowledge engineering; Robustness; Sampling methods; Search methods;
Conference_Titel :
Evolutionary Computation, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the First IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1899-4
DOI :
10.1109/ICEC.1994.349988
