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This paper presents the application of two swarm intelligence techniques, multi-objective artificial bee colony (MOABC) and multi-objective particle swarm optimization (MOPSO), to the optimal design of a complementary metal oxide semiconductor (CMOS)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::acd8bdcf5232347036b7ddfae6d03144
https://zenodo.org/record/8141395
https://zenodo.org/record/8141395
Publikováno v:
2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET).
Multi-objective artificial bee colony (MOABC) is a meta-heuristic which belongs to the field of swarm intelligence techniques. The basic idea is to imitate the intelligent foraging behavior of honeybee swarms in order to solve multi-objective optimiz
Publikováno v:
Edition 3, Ferrare, Italie.
Resume : Durant les cinq dernieres annees, le site de Cap Djinet a fait l’objet d’une multitude d’etudes combinees, citons la bathymetrie, l’oceanographie, la sismique reflexion et le leve au sonar lateral. L’objectif de ces etudes etait la