Frontiers in Massive Optimization and Computational Intelligence

International Associated Laboratory between Japan & France

France


University of Lille

CRIStAL (UMR 9189, CNRS, Centrale Lille)

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What? Massive optimization problems

  • Large-scale — variable space dimensionality
  • Any-objective — single-, multi-, and many-objective optimization
  • Cross-domain —heterogeneous continuous/combinatorial/mixed representations
  • Expensive — costly/simulation-based black-box evaluations

How? Massive optimization algorithms

  • Landscape-aware algorithm design/configuration/selection
  • Model-assisted and machine learning-enhanced autonomous algorithms
  • Decomposition-based search paradigms and design principles
  • Decentralized algorithms and parallel/distributed computing