caa a22 4500 606159185 CHVBK 20210128100623.0 cr unu---uuuuu 210128e20150801xx s 000 0 eng 10.1007/s00521-014-1808-5 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1808-5 Jordehi A. Department of Electrical Engineering, University Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia aut A review on constraint handling strategies in particle swarm optimisation [Elektronische Daten] [A. Jordehi] Almost all real-world optimisation problems are constrained. Solving constrained problems is difficult for optimisation techniques. In this paper, different constraint handling strategies used in heuristic optimisation algorithms and especially particle swarm optimisation (PSO) are reviewed. Since PSO is a very common optimisation algorithm, this paper can provide a broad view to researchers in related field and help them to identify the appropriate constraint handling strategy for their own optimisation problem. The Natural Computing Applications Forum, 2015 Particle swarm optimisation nationallicence Constraint handling nationallicence Optimisation nationallicence Neural Computing and Applications Springer London 26/6(2015-08-01), 1265-1275 0941-0643 26:6<1265 2015 26 521 https://doi.org/10.1007/s00521-014-1808-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 review-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1808-5 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Jordehi A. Department of Electrical Engineering, University Putra Malaysia, 43400, UPM Serdang, Selangor, Malaysia aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/6(2015-08-01), 1265-1275 0941-0643 26:6<1265 2015 26 521