Seminars & Lectures
| * TITLE | Genetic algorithm with different environmental conditions | ||||||
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| * DATE / TIME | 2020-06-24, 10:30-11:15 | ||||||
| * PLACE | #503, Hogil Kim Memorial Bldg. & ZOOM Webinar | ||||||
| * ABSTRACT | |||||||
| We propose an extended genetic algorithm (GA) with different local environmental conditions. Genetic entities, or configurations, are put on nodes in a ring structure, and location-dependent environmental conditions are applied for each entity. Our GA is hinted by the geographic bottleneck effect in natural evolution: Geographic isolation reduces the diversity in a local group, but at the same time, can enhance intergroup diversity. The migration and mating of genetic entities across separate locations can provide a sufficient genetic diversity in the gene pool. Our extended GA is validated for the ground state of the three-dimensional spin-glass system with a spatially-and temporally oscillating external magnetic field mimicking heterogeneous environments in nature. We numerically confirm that the use of different environmental conditions in GA makes it possible to find the lower-energy spin configurations at relatively shorter computation time. We emphasize that our GA with location-specific heterogeneous environmental condition can be applied for a broad research area in which finding of the optimal state in a shorter computation time is the key problem. ■ On-site You can participate in the seminar directly on-site at seminar room #503 of the Center. ■ ZOOM Webinar 1) Click the following link https://zoom.us/j/99031559213?pwd=T09zTjJ5aHdOUmprTGV6Sjl3aFlzZz09 2) Join the webinar with your email account and name |
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