Fitness-Distance Balance (FDB): A New Selection Method for Meta-Heuristic Search Algorithms
인용 양식
Link: https://www.sciencedirect.com/science/article/abs/pii/S0950705119305167
Kahraman, Hamdi Tolga, et al. “Fitness-Distance Balance ({FDB}): A New Selection Method for Meta-Heuristic Search Algorithms.” Knowledge-Based Systems, Elsevier {BV}, Nov. 2019, p. 105169, doi:10.1016/j.knosys.2019.105169.
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| MLA |
Kahraman, Hamdi Tolga, et al. “Fitness-Distance Balance ({FDB}): A New Selection Method for Meta-Heuristic Search Algorithms.” Knowledge-Based Systems, Elsevier {BV}, Nov. 2019, p. 105169, doi:10.1016/j.knosys.2019.105169.
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| APA |
Kahraman, H. T., Aras, S., & Gedikli, E. (2019). Fitness-distance balance ({FDB}): A new selection method for meta-heuristic search algorithms. Knowledge-Based Systems, 105169. Elsevier {BV}. Retrieved from https://doi.org/10.1016%2Fj.knosys.2019.105169
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| BibTeX |
@article{Kahraman_2019,
doi = {10.1016/j.knosys.2019.105169},
url = {https://doi.org/10.1016%2Fj.knosys.2019.105169},
year = 2019,
month = {nov},
publisher = {Elsevier {BV}},
pages = {105169},
author = {Hamdi Tolga Kahraman and Sefa Aras and Eyüp Gedikli},
title = {Fitness-distance balance ({FDB}): A new selection method for meta-heuristic search algorithms},
journal = {Knowledge-Based Systems}
}
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