An Imanishism-based genetic algorithm for sampling various Pareto-optimal solutions: An application to the multiobjective resource division problem.

MLA

Tagawa, Kiyoharu, et al. “An Imanishism-Based Genetic Algorithm for Sampling Various Pareto-Optimal Solutions: An Application to the Multiobjective Resource Division Problem.” Electrical Engineering in Japan, vol. 139, no. 2, Apr. 2002, pp. 23–35. EBSCOhost, https://doi.org/10.1002/eej.10010.

APA

Tagawa, K., Wakabayashi, N., Haneda, H., & Inoue, K. (2002). An Imanishism-based genetic algorithm for sampling various Pareto-optimal solutions: An application to the multiobjective resource division problem. Electrical Engineering in Japan, 139(2), 23–35. https://doi.org/10.1002/eej.10010

Chicago

Tagawa, Kiyoharu, Noboru Wakabayashi, Hiromasa Haneda, and Katsumi Inoue. 2002. “An Imanishism-Based Genetic Algorithm for Sampling Various Pareto-Optimal Solutions: An Application to the Multiobjective Resource Division Problem.” Electrical Engineering in Japan 139 (2): 23–35. doi:10.1002/eej.10010.