Yang, G. (2017). Game Theory-Inspired Evolutionary Algorithm for Global Optimization. Algorithms, 10(4), 111. https://doi.org/10.3390/a10040111
Chicago Style (17th ed.) CitationYang, Guanci. "Game Theory-Inspired Evolutionary Algorithm for Global Optimization." Algorithms 10, no. 4 (2017): 111. https://doi.org/10.3390/a10040111.
MLA (9th ed.) CitationYang, Guanci. "Game Theory-Inspired Evolutionary Algorithm for Global Optimization." Algorithms, vol. 10, no. 4, 2017, p. 111, https://doi.org/10.3390/a10040111.
Warning: These citations may not always be 100% accurate.