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Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm., , and . IEEE Trans. Evol. Comput., 23 (6): 987-999 (2019)A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA., , , and . IEEE Trans. Evol. Comput., 12 (3): 269-283 (2008)Multi-objective optimization of cellular scanning strategy in selective laser melting., , , and . CEC, page 2730-2737. IEEE, (2017)Multi-scenario, multi-objective optimization using evolutionary algorithms: Initial results., , and . CEC, page 1877-1884. IEEE, (2015)Enhancing performance of particle swarm optimization through an algorithmic link with genetic algorithms., and . Comput. Optim. Appl., 57 (3): 761-794 (2014)Optimal turning gait of a six-legged robot using a GA-fuzzy approach., , and . Artif. Intell. Eng. Des. Anal. Manuf., 14 (3): 207-219 (2000)A survey of evolutionary algorithms using metameric representations., , , and . Genet. Program. Evolvable Mach., 20 (4): 441-478 (2019)Solving metameric variable-length optimization problems using genetic algorithms., , , and . Genet. Program. Evolvable Mach., 18 (2): 247-277 (2017)Trend Mining 2.0: Automating the Discovery of Variable Trends in the Objective Space., , , and . CEC, page 1-8. IEEE, (2020)Uncertainty Handling in Bilevel Optimization for Robust and Reliable Solutions., , and . Int. J. Uncertain. Fuzziness Knowl. Based Syst., 26 (Supplement-2): 1-24 (2018)