Abstract

The article challenges the view that the Neo-Darwinian theory of evolution is sufficient to explain the ongoing evolution. The classical evolutionary algorithms based on that theory suffer from the loss of diversity, stagnation and premature convergence. The author claims that the cosmetic changes of those tools are not sufficient to overcome this situation and the change of overall theoretical framework is required. The proposition of a semiotic theory of evolution created by Charles Sanders Peirce is revealed as an alternative to the classical Modern Synthesis. This alternative model of evolution is implemented in two kinds of evolutionary algorithms: P-EA and SEAM, which simulate evolution by virtue of cooperation and symbiosis respectively. The new approach to algorithms constructs shows significant benefits upon classical evolutionary algorithms in benchmark tests, which may support the original claim that the accepted theory of evolution needs rethinking today.