caa a22 4500 606159894 CHVBK 20210128100627.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00521-014-1751-5 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1751-5 Rezaee Jordehi A. Department of Electrical Engineering, University Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia aut A chaotic artificial immune system optimisation algorithm for solving global continuous optimisation problems [Elektronische Daten] [A. Rezaee Jordehi] Artificial immune system algorithm (AIS) is a population-based global heuristic optimisation algorithm. It is inspired by immune system of human bodies. Alleviating premature convergence problem of heuristic optimisation algorithms is a hot research area. In this study, chaotic-based strategies are embedded into AIS to alleviate its premature convergence problem. Four various chaotic-based AIS strategies with five different chaotic map functions (totally 20 cases) are examined, and the best one is chosen as the best chaotic paradigm for AIS. The results of applying the proposed chaotic AIS to a variety of unimodal and multimodal benchmark functions reveal that it offers high-quality solutions. It significantly outperforms conventional AIS and gravitational search algorithm. The outperformance is both in terms of accuracy of solutions and stability in finding accurate solutions. The Natural Computing Applications Forum, 2014 Artificial immune system optimisation algorithm nationallicence Global optimisation nationallicence Chaos nationallicence Neural Computing and Applications Springer London 26/4(2015-05-01), 827-833 0941-0643 26:4<827 2015 26 521 https://doi.org/10.1007/s00521-014-1751-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1751-5 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Rezaee Jordehi A. Department of Electrical Engineering, University Putra Malaysia (UPM), 43400, Serdang, Selangor, Malaysia aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/4(2015-05-01), 827-833 0941-0643 26:4<827 2015 26 521