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Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment.

, , , , and . IEEE Trans. Evol. Comput., 28 (2): 323-337 (April 2024)

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Evaluating the epsilon-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions., , and . Evol. Comput., 13 (4): 501-525 (2005)Implicit Niching in a Learning Classifier System: Nature's Way., , and . Evol. Comput., 2 (1): 37-66 (1994)Introducing Robustness in Multi-Objective Optimization., and . Evol. Comput., 14 (4): 463-494 (2006)Messy Genetic Algorithms: Motivation, Analysis, and First Results., , and . Complex Syst., (1989)Complex Systems: Errata and Changes Volumes 3 and 4., , , , , , , , , and 1 other author(s). Complex Syst., (1991)Genetic Algorithms, Noise, and the Sizing of Populations., , and . Complex Syst., (1992)Neural Architecture Transfer., , , , , and . CoRR, (2020)An Evolutionary Many-Objective Optimization Algorithm Based on Dominance and Decomposition., , , and . IEEE Trans. Evol. Comput., 19 (5): 694-716 (2015)High dimensional search-based software engineering: finding tradeoffs among 15 objectives for automating software refactoring using NSGA-III., , , , and . GECCO, page 1263-1270. ACM, (2014)Reference point based evolutionary multi-objective optimization with dynamic resampling for production systems improvement., , and . J. Systems and IT, 20 (4): 489-512 (2018)