caa a22 4500 605469342 CHVBK 20210128100321.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s00500-015-1767-5 doi (NATIONALLICENCE)springer-10.1007/s00500-015-1767-5 Kursawe and ZDT functions optimization using hybrid micro genetic algorithm (HMGA) [Elektronische Daten] [Wei Lim, Asral Jambek, Siew Neoh] A hybrid micro genetic algorithm (HMGA) is proposed for Pareto optimum search focusing on the Kursawe and ZDT test functions. HMGA is a fusion of the micro genetic algorithm (MGA) and the elitism concept of fast Pareto genetic algorithm. The effectiveness of HMGA in Pareto optimal convergence was investigated with two performance indicators (i.e. generational distance and spacing). To measure HMGA's performance, a comparison study was conducted between HMGA and MGA. In this work, HMGA is outperformed MGA in the search for Pareto optimal front and capable of solving different difficulty of MOPs. Springer-Verlag Berlin Heidelberg, 2015 Optimisation nationallicence Kursawe test function nationallicence ZDT test function nationallicence Hybrid algorithm nationallicence Lim Wei School of Microelectronic Engineering, Universiti Malaysia Perlis, Kampus Alam, Pauh Putra, 02600, Pauh, Perlis, Malaysia aut Jambek Asral School of Microelectronic Engineering, Universiti Malaysia Perlis, Kampus Alam, Pauh Putra, 02600, Pauh, Perlis, Malaysia aut Neoh Siew Computational Intelligence Research Group, Department of Computing Science and Digital Technologies, Faculty of Engineering and Environment, University of Northumbria, NE1 8ST, Newcastle, UK aut Soft Computing Springer Berlin Heidelberg 19/12(2015-12-01), 3571-3580 1432-7643 19:12<3571 2015 19 500 https://doi.org/10.1007/s00500-015-1767-5 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/s00500-015-1767-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lim Wei School of Microelectronic Engineering, Universiti Malaysia Perlis, Kampus Alam, Pauh Putra, 02600, Pauh, Perlis, Malaysia aut NATIONALLICENCE 700 1- Jambek Asral School of Microelectronic Engineering, Universiti Malaysia Perlis, Kampus Alam, Pauh Putra, 02600, Pauh, Perlis, Malaysia aut NATIONALLICENCE 700 1- Neoh Siew Computational Intelligence Research Group, Department of Computing Science and Digital Technologies, Faculty of Engineering and Environment, University of Northumbria, NE1 8ST, Newcastle, UK aut NATIONALLICENCE 773 0- Soft Computing Springer Berlin Heidelberg 19/12(2015-12-01), 3571-3580 1432-7643 19:12<3571 2015 19 500