Parallel Problem Solving from Nature - PPSN XVI
16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I
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The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.
Automated Algorithm Selection and Configuration.- Bayesian- and Surrogate-Assisted Optimization.- Benchmarking and Performance Measures.- Combinatorial Optimization.- Connection Between Nature-Inspired Optimization and Artificial Intelligence.- Genetic and Evolutionary Algorithms.