Kursawe and ZDT functions optimization using hybrid micro genetic algorithm (HMGA)
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| 001 | 605469342 | ||
| 003 | CHVBK | ||
| 005 | 20210128100321.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20151201xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-015-1767-5 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-015-1767-5 | ||
| 245 | 0 | 0 | |a Kursawe and ZDT functions optimization using hybrid micro genetic algorithm (HMGA) |h [Elektronische Daten] |c [Wei Lim, Asral Jambek, Siew Neoh] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2015 | ||
| 690 | 7 | |a Optimisation |2 nationallicence | |
| 690 | 7 | |a Kursawe test function |2 nationallicence | |
| 690 | 7 | |a ZDT test function |2 nationallicence | |
| 690 | 7 | |a Hybrid algorithm |2 nationallicence | |
| 700 | 1 | |a Lim |D Wei |u School of Microelectronic Engineering, Universiti Malaysia Perlis, Kampus Alam, Pauh Putra, 02600, Pauh, Perlis, Malaysia |4 aut | |
| 700 | 1 | |a Jambek |D Asral |u School of Microelectronic Engineering, Universiti Malaysia Perlis, Kampus Alam, Pauh Putra, 02600, Pauh, Perlis, Malaysia |4 aut | |
| 700 | 1 | |a Neoh |D Siew |u Computational Intelligence Research Group, Department of Computing Science and Digital Technologies, Faculty of Engineering and Environment, University of Northumbria, NE1 8ST, Newcastle, UK |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/12(2015-12-01), 3571-3580 |x 1432-7643 |q 19:12<3571 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-015-1767-5 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-015-1767-5 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Lim |D Wei |u School of Microelectronic Engineering, Universiti Malaysia Perlis, Kampus Alam, Pauh Putra, 02600, Pauh, Perlis, Malaysia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Jambek |D Asral |u School of Microelectronic Engineering, Universiti Malaysia Perlis, Kampus Alam, Pauh Putra, 02600, Pauh, Perlis, Malaysia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Neoh |D Siew |u Computational Intelligence Research Group, Department of Computing Science and Digital Technologies, Faculty of Engineering and Environment, University of Northumbria, NE1 8ST, Newcastle, UK |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/12(2015-12-01), 3571-3580 |x 1432-7643 |q 19:12<3571 |1 2015 |2 19 |o 500 | ||