pymoo

References

Here is the corresponding BibTex.

1

Kenneth Price, Rainer M. Storn, and Jouni A. Lampinen. Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series). Springer-Verlag, Berlin, Heidelberg, 2005. ISBN 3540209506.

2

Qingfu Zhang and Hui Li. A multi-objective evolutionary algorithm based on decomposition. IEEE Transactions on Evolutionary Computation, Accepted, 2007.

3

K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan. A fast and elitist multiobjective genetic algorithm: nsga-II. Trans. Evol. Comp, 6(2):182–197, April 2002. URL: http://dx.doi.org/10.1109/4235.996017, doi:10.1109/4235.996017.

4

Kalyanmoy Deb and Himanshu Jain. An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints. IEEE Transactions on Evolutionary Computation, 18(4):577–601, 2014. doi:10.1109/TEVC.2013.2281535.

5

H. Jain and K. Deb. An evolutionary many-objective optimization algorithm using reference-point based nondominated sorting approach, part II: handling constraints and extending to an adaptive approach. IEEE Transactions on Evolutionary Computation, 18(4):602–622, Aug 2014.

6

Julian Blank, Kalyanmoy Deb, and Proteek Chandan Roy. Investigating the normalization procedure of NSGA-III. In Kalyanmoy Deb, Erik Goodman, Carlos A. Coello Coello, Kathrin Klamroth, Kaisa Miettinen, Sanaz Mostaghim, and Patrick Reed, editors, Evolutionary Multi-Criterion Optimization, 229–240. Cham, 2019. Springer International Publishing.

7

Kalyanmoy Deb and J. Sundar. Reference point based multi-objective optimization using evolutionary algorithms. In Proceedings of the 8th Annual Conference on Genetic and Evolutionary Computation, GECCO ‘06, 635–642. New York, NY, USA, 2006. ACM. URL: http://doi.acm.org/10.1145/1143997.1144112, doi:10.1145/1143997.1144112.

8

Y. Vesikar, K. Deb, and J. Blank. Reference point based NSGA-III for preferred solutions. In 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1587–1594. Nov 2018. doi:10.1109/SSCI.2018.8628819.

9

H. Seada and K. Deb. A unified evolutionary optimization procedure for single, multiple, and many objectives. IEEE Transactions on Evolutionary Computation, 20(3):358–369, June 2016. doi:10.1109/TEVC.2015.2459718.

10

Kalyanmoy Deb, Karthik Sindhya, and Tatsuya Okabe. Self-adaptive simulated binary crossover for real-parameter optimization. In Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation, GECCO ‘07, 1187–1194. New York, NY, USA, 2007. ACM. URL: http://doi.acm.org/10.1145/1276958.1277190, doi:10.1145/1276958.1277190.

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