caa a22 4500 606159487 CHVBK 20210128100625.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s00521-014-1743-5 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1743-5 How important is a transfer function in discrete heuristic algorithms [Elektronische Daten] [Shahrzad Saremi, Seyedali Mirjalili, Andrew Lewis] Transfer functions are considered the simplest and cheapest operators in designing discrete heuristic algorithms. The main advantage of such operators is the maintenance of the structure and other continuous operators of a continuous algorithm. However, a transfer function may show different behaviour in various heuristic algorithms. This paper investigates the behaviour and importance of transfer functions in improving performance of heuristic algorithms. As case studies, two algorithms with different mechanisms of optimisation were chosen: Gravitational Search Algorithm and Particle Swarm Optimisation. Eight transfer functions were integrated in these two algorithms and compared on a set of test functions. The results show that transfer functions may show diverse behaviours and have different impacts on the performance of algorithms, which should be considered when designing a discrete algorithm. The results also demonstrate the significant role of the transfer function in terms of improved exploration and exploitation of a heuristic algorithm. The Natural Computing Applications Forum, 2014 Binary optimisation nationallicence Discrete optimisation nationallicence Transfer function nationallicence Evolutionary algorithm nationallicence Heuristic algorithm nationallicence Binary algorithm nationallicence Discrete algorithm nationallicence Saremi Shahrzad School of Information and Communication Technology, Griffith University, Nathan, 4111, Brisbane, QLD, Australia aut Mirjalili Seyedali School of Information and Communication Technology, Griffith University, Nathan, 4111, Brisbane, QLD, Australia aut Lewis Andrew School of Information and Communication Technology, Griffith University, Nathan, 4111, Brisbane, QLD, Australia aut Neural Computing and Applications Springer London 26/3(2015-04-01), 625-640 0941-0643 26:3<625 2015 26 521 https://doi.org/10.1007/s00521-014-1743-5 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/s00521-014-1743-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Saremi Shahrzad School of Information and Communication Technology, Griffith University, Nathan, 4111, Brisbane, QLD, Australia aut NATIONALLICENCE 700 1- Mirjalili Seyedali School of Information and Communication Technology, Griffith University, Nathan, 4111, Brisbane, QLD, Australia aut NATIONALLICENCE 700 1- Lewis Andrew School of Information and Communication Technology, Griffith University, Nathan, 4111, Brisbane, QLD, Australia aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/3(2015-04-01), 625-640 0941-0643 26:3<625 2015 26 521