Abstract
The article challenges the view that the Neo-Darwinian theory of evolutionis sufficient to explain the ongoing evolution. The classical evolutionary algorithmsbased on that theory suffer from the loss of diversity, stagnation andpremature convergence. The author claims that the cosmetic changes of thosetools are not sufficient to overcome this situation and the change of overall theoreticalframework is required. The proposition of a semiotic theory of evolutioncreated by Charles Sanders Peirce is revealed as an alternative to the classicalModern Synthesis. This alternative model of evolution is implemented intwo kinds of evolutionary algorithms: P-EA and SEAM, which simulate evolutionby virtue of cooperation and symbiosis respectively. The new approach toalgorithms constructs shows significant benefits upon classical evolutionaryalgorithms in benchmark tests, which may support the original claim that theaccepted theory of evolution needs rethinking today.
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