1. Agushaka, J.O., Ezugwu, A.E., Abualigah, L., Alharbi, S.K., Khalifa, H.A.E.W., 2022. Efficient initialization methods for population-based metaheuristic algorithms: A comparative study. doi:10.1007/s11831-022-09850-4.
2. Studying the impact of initialization for population-based algorithms with low-discrepancy sequences;Ashraf;Applied Sciences (Switzerland),2021
3. Comparative analysis of low discrepancy sequence-based initialization approaches using population-based algorithms for solving the global optimization problems;Bangyal;Applied Sciences (Switzerland),2021
4. Efects of random values for particle swarm optimization algorithm;Dai;Algorithms,2018
5. Non-Uniform Random Variate Generation(originally published with;Devroye,1986