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Towards realistic optimization benchmarks: a questionnaire on the properties of real-world problems.

, , , , , , , and . GECCO Companion, page 293-294. ACM, (2020)

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Real-coded adaptive range genetic algorithm applied to transonic wing optimization., , and . Appl. Soft Comput., 1 (3): 179-187 (2001)Simultaneous structure design optimization of multiple car models using the K computer., , , , and . SSCI, page 1-4. IEEE, (2017)Gegenbauer reconstruction method with edge detection for multi-dimensional uncertainty propagation., , and . J. Comput. Phys., (2022)Identifying Properties of Real-World Optimisation Problems through a Questionnaire., , , , , , , and . CoRR, (2020)Benchmarking multiobjective evolutionary algorithms and constraint handling techniques on a real-world car structure design optimization benchmark problem., and . GECCO (Companion), page 177-178. ACM, (2018)Benchmarking Multi- and Many-Objective Evolutionary Algorithms Under Two Optimization Scenarios., , and . IEEE Access, (2017)On improving the constraint-handling performance with modified multiple constraint ranking (MCR-mod) for engineering design optimization problems solved by evolutionary algorithms., , and . GECCO, page 762-770. ACM, (2019)Data mining of non-dominated solutions using proper orthogonal decomposition., , and . GECCO, page 1935-1936. ACM, (2009)A note on constrained multi-objective optimization benchmark problems., and . CEC, page 1127-1134. IEEE, (2017)Analysis on Population Size and Neighborhood Recombination on Many-Objective Optimization., , , and . PPSN (2), volume 7492 of Lecture Notes in Computer Science, page 22-31. Springer, (2012)