Advanced Multi-Objective Optimization Algorithms
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.
Papers listed on taxonomy pages are the top few works per node from the OpenAlex snapshot. That list is not exhaustive and is not an endorsement. The topic map and the journal registry remain separate: there is still no authoritative topic-to-venue or topic-to-organization edge. Search is a lexical lookup, not a claim that a venue publishes a topic.