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Physical Sciences → Computer Science → Computational Theory and Mathematics

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.

44.8K works worldwide1M citations
Evolutionary AlgorithmsMultiobjective OptimizationSurrogate ModelingGenetic AlgorithmBayesian OptimizationPareto FrontKriging MetamodelingParticle Swarm OptimizationHypervolume IndicatorEngineering Design

Journals publishing in this area

Articles on Scinovex in this research area

4 articles, most cited first

  1. Reliability computation of system reliability of a stress-strength model with new Rayleigh Pareto distribution
    International Journal of Statistics and Applied Mathematics · 2019 · 1 citations · AI summary
  2. Optimized variable selection via the penalized exponential loss function
    International Journal of Statistics and Applied Mathematics · 2025 · 0 citations
  3. Measure of slope rotatability for second order response surface designs using a pair of symmetrical unequal block arrangements with two unequal block sizes
    International Journal of Statistics and Applied Mathematics · 2020 · 0 citations
  4. The modified balanced confounded design algorithm for constructing n-point d-optimal global designs
    International Journal of Statistics and Applied Mathematics · 2018 · 0 citations