{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T16:25:58Z","timestamp":1770481558899,"version":"3.49.0"},"reference-count":46,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Bifurcation Chaos"],"published-print":{"date-parts":[[2008,4]]},"abstract":"<jats:p>This paper introduces the notion of chaos synthesis by means of evolutionary algorithms and develops a new method for chaotic systems synthesis. This method is similar to genetic programming and grammatical evolution and is being applied along with three evolutionary algorithms: differential evolution, self-organizing migration and genetic algorithm. The aim of this investigation is to synthesize new and \"simple\" chaotic systems based on some elements contained in a prechosen existing chaotic system and a properly defined cost function. The investigation consists of eleven case studies: the aforementioned three evolutionary algorithms in eleven versions. For all algorithms, 100 simulations of chaos synthesis were repeated and then averaged to guarantee the reliability and robustness of the proposed method. The most significant results were carefully selected, visualized and commented in this report.<\/jats:p>","DOI":"10.1142\/s021812740802077x","type":"journal-article","created":{"date-parts":[[2008,6,12]],"date-time":"2008-06-12T10:46:53Z","timestamp":1213267613000},"page":"911-942","source":"Crossref","is-referenced-by-count":62,"title":["CHAOS SYNTHESIS BY MEANS OF EVOLUTIONARY ALGORITHMS"],"prefix":"10.1142","volume":"18","author":[{"given":"IVAN","family":"ZELINKA","sequence":"first","affiliation":[{"name":"Department of Applied Informatics, Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, 762 72 Zlin, Czech Republic"}]},{"given":"GUANRONG","family":"CHEN","sequence":"additional","affiliation":[{"name":"Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, P. R. China"}]},{"given":"SERGEJ","family":"CELIKOVSKY","sequence":"additional","affiliation":[{"name":"Control Theory Department, Institute of Information Theory and Automation, Academy of Sciences of Czech Republic, Pod Vod\u00e1renskou v\u011b\u017e\u00ed 4, 182 08, Praha 8, Czech Republic"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","first-page":"1605","volume":"7","author":"Alvarez J.","journal-title":"Int. J. 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