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Publikováno v:
Proceedings of the 8th International Marine Design Conference (IMDC). 3:667-681
This paper addresses Micro-Genetic Algorithms (μGAs), which explore in a small population with some genetic operators, for cutting path optimisation problem. The major difference between the μGAs and Simple-Genetic Algorithms (SGAs) is how· to mak
Publikováno v:
Proceedings of The Twelfth (2002) International Offshore and Polar Engineering Conference. :230-235
The current research to find near-optimum solution(s) explores in a small population, which is coined as Micro-Genetic Algorithms (μGAs), with some genetic operators. Just as in the Simple-Genetic Algorithms (SGAs), the μGAs work with encoding popu