- Ferrucci, F., Salza, P. and Sarro, F., 2018. Using hadoop MapReduce for parallel genetic algorithms: A comparison of the global, grid and island models. Evolutionary Computation, 26(4), pp.535-567. [ www ] ( GA | Discrete Optimization ) [ Department of Computer Science, University College London ]
- Vargas, D.V., Murata, J., Takano, H. and Delbem, A.C.B., 2015. General subpopulation framework and taming the conflict inside populations. Evolutionary Computation, 23(1), pp.1-36. [ www ]
- Lässig, J. and Sudholt, D., 2014. General upper bounds on the runtime of parallel evolutionary algorithms. Evolutionary Computation, 22(3), pp.405-437. [ www ]
- Arnold, D.V. and MacLeod, A., 2008. Step length adaptation on ridge functions. Evolutionary Computation, 16(2), pp.151-184. [ www ] ( ES | Parallel/Distributed | Abstract Model ) [ Department of Mathematics and Statistics, University of Toronto ]
- Hansen, N., Müller, S.D. and Koumoutsakos, P., 2003. Reducing the time complexity of the derandomized evolution strategy with covariance matrix adaptation (CMA-ES). Evolutionary Computation, 11(1), pp.1-18. [ www ] ( ES | Parallel/Distributed | Abstract Model ) [ Institute of Computational Science, ETHZ Computational Laboratory (CoLab), Swiss Federal Institute of Technology, Zürich ]
- Rudolph, G., 1993. Massively parallel simulated annealing and its relation to evolutionary algorithms. Evolutionary Computation, 1(4), pp.361-383. [ www ]