Journal
SOFT COMPUTING
Volume 19, Issue 12, Pages 3571-3580Publisher
SPRINGER
DOI: 10.1007/s00500-015-1767-5
Keywords
Optimisation; Kursawe test function; ZDT test function; Hybrid algorithm
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Funding
- Knowledge Transfer Program (KTP) Grant
- Unimap
- Myreka Sdn Bhd
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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.
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