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  • EvoX Tutorial
    • 1. Introduction
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Additional Resources

  • API Reference
    • evox
      • evox.workflows
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        • evox.vis_tools.plot
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      • evox.algorithms
        • evox.algorithms.so
          • evox.algorithms.so.es_variants
          • evox.algorithms.so.de_variants
          • evox.algorithms.so.pso_variants
        • evox.algorithms.mo
          • evox.algorithms.mo.rveaa
          • evox.algorithms.mo.rvea
          • evox.algorithms.mo.moead
          • evox.algorithms.mo.nsga2
          • evox.algorithms.mo.nsga3
          • evox.algorithms.mo.hype
      • evox.utils
        • evox.utils.re_export
        • evox.utils.jit_fix_operator
        • evox.utils.op_register
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      • evox.core
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      • evox.problems
        • evox.problems.neuroevolution
          • evox.problems.neuroevolution.brax
          • evox.problems.neuroevolution.mujoco_playground
          • evox.problems.neuroevolution.supervised_learning
        • evox.problems.numerical
          • evox.problems.numerical.basic
          • evox.problems.numerical.cec2022
          • evox.problems.numerical.dtlz
        • evox.problems.hpo_wrapper
      • evox.operators
        • evox.operators.mutation
          • evox.operators.mutation.pm_mutation
        • evox.operators.sampling
          • evox.operators.sampling.gird
          • evox.operators.sampling.latin_hypercube
          • evox.operators.sampling.uniform
        • evox.operators.selection
          • evox.operators.selection.find_pbest
          • evox.operators.selection.non_dominate
          • evox.operators.selection.rvea_selection
          • evox.operators.selection.tournament_selection
        • evox.operators.crossover
          • evox.operators.crossover.sbx
          • evox.operators.crossover.differential_evolution
          • evox.operators.crossover.sbx_half
      • evox.metrics
        • evox.metrics.hv
        • evox.metrics.gd
        • evox.metrics.igd
  • Examples
    • Numerical Optimization
    • Multi-Objective Algorithm
    • Solving Brax Problems in EvoX
    • Neuroevolution for machine learning
    • Efficient HPO with EvoX
    • Custom Algorithm and Problem
  • Miscellaneous
    • Selecting GPU / CPU
    • Use Non-NVIDIA GPUs
    • Linux Distribution and GPU Driver
    • Transformation from MATLAB to PyTorch and EvoX

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  • Submodules
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      • __all__
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  1. EvoX /
  2. API Reference /
  3. evox /
  4. evox.algorithms /
  5. evox.algorithms.mo

evox.algorithms.mo¶

Submodules¶

  • evox.algorithms.mo.rveaa
  • evox.algorithms.mo.rvea
  • evox.algorithms.mo.moead
  • evox.algorithms.mo.nsga2
  • evox.algorithms.mo.nsga3
  • evox.algorithms.mo.hype

Package Contents¶

Data¶

__all__

API¶

evox.algorithms.mo.__all__¶

[‘HypE’, ‘MOEAD’, ‘NSGA2’, ‘NSGA3’, ‘RVEA’, ‘RVEAa’]

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2022, Bill Huang

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