• Byron J and Iba W. Population Diversity as a Selection Factor. Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. (953-959).

    https://doi.org/10.1145/2908961.2931653

  • Squillero G and Tonda A. Promoting Diversity in Evolutionary Algorithms. Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion. (943-944).

    https://doi.org/10.1145/2908961.2931651

  • Gaudesi M, Squillero G and Tonda A. An efficient distance metric for linear genetic programming. Proceedings of the 15th annual conference on Genetic and evolutionary computation. (925-932).

    https://doi.org/10.1145/2463372.2463495

  • Kala R, Shukla A and Tiwari R. (2018). Robotic path planning using hybrid genetic algorithm particle swarm optimisation. International Journal of Information and Communication Technology. 4:2/3/4. (89-105). Online publication date: 1-Aug-2012.

    https://doi.org/10.1504/IJICT.2012.048756

  • Squillero G. (2018). Artificial evolution in computer aided design: from the optimization of parameters to the creation of assembly programs. Computing. 93:2-4. (103-120). Online publication date: 1-Dec-2011.

    https://doi.org/10.1007/s00607-011-0157-9

  • Ulrich T, Bader J and Thiele L. (2010). Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective Search. Parallel Problem Solving from Nature, PPSN XI. 10.1007/978-3-642-15844-5_71. (707-717).

    http://link.springer.com/10.1007/978-3-642-15844-5_71

  • Ulrich T, Bader J and Thiele L. Defining and optimizing indicator-based diversity measures in multiobjective search. Proceedings of the 11th international conference on Parallel problem solving from nature: Part I. (707-717).

    /doi/10.5555/1885031.1885107

  • Gabor T, Phan T and Linnhoff-Popien C. (2021). Productive fitness in diversity-aware evolutionary algorithms. Natural Computing. 10.1007/s11047-021-09853-3.

    https://link.springer.com/10.1007/s11047-021-09853-3