Advanced Multi-Objective Optimization Algorithms
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Scope of this subject
This cluster of papers focuses on the application of evolutionary algorithms, surrogate modeling, and optimization techniques to solve multiobjective optimization problems. It covers topics such as genetic algorithms, Pareto fronts, Bayesian optimization, and the use of surrogate models like Kriging for engineering design.
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Research vocabulary
Pareto front; multi-objective evolutionary algorithms; Pareto optimal solutions; many-objective optimization; surrogate-based optimization; Pareto front approximation; MOEA/D; solution diversity; constrained multi-objective optimization; evolutionary multi-objective optimization; Pareto dominance; dynamic multi-objective optimization; non-dominated sorting; crowding distance; NSGA-III; SPEA2; hypervolume indicator; hypervolume; surrogate-assisted evolutionary algorithms; convergence and diversity; convergence and diversity balance; Pareto set; NSGA-II comparison; scalarization; external archive
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Numeric address and provenance
Morton address: 36174758408225879 · morton4x16-v1
Coordinates: (3, 17, 1703, 10848). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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