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User Guide

Installation Guide
User Guide
Developer Guide
Experimental Features
- Multidevice Algorithm
- EvoXVision Support

API Reference

Core Classes
Algorithms
- Single-objective
  - AMaLGaM
  - ARS
  - ASEBO
  - CLPSO
  - CMA-ES
  - CoDE
  - CR-FM-NES
  - CSO
  - DE
  - DES
  - DMS-PSO-EL
  - ESMC
  - FIPS
  - GuidedES
  - JaDE
  - LES
  - MA-ES
  - xNES
  - Noise-Reuse-ES
  - ODE
  - OpenES
  - PersistentES
  - PGPE
  - PSO
  - RMES
  - SaDE
  - SHADE
  - SL-PSO-GS
  - SL-PSO-US
  - SNES
  - SWMMPSO
- Multi-objective
  - BCEIBEA
  - BiGE
  - EAG-MOEA/D
  - GDE3
  - HypE
  - IBEA
  - KnEA
  - LMOCSO
  - MOEA/D
  - MOEA/D-DRA
  - MOEA/D-M2M
  - NSGA-II
  - NSGA-III
  - RVEA
  - SPEA2
  - SRA
  - tDEA
  - RVEAa
  - IMMOEA
- Containers
Problems
- Numerical Benchmarks
  - Test functions
    
    Ackley
    
    Griewank
    
    Rastrigin
    
    Rosenbrock
    
    Schwefel
    
    Sphere
  - Test suits
    
    CEC2022 Test Suit
    
    DTLZ Test Suit
    
    LSMOP Test Suit
    
    MaF Test Suit
    
    ZDT Test Suit
- Neuroevolution
  - Reinforcement Learning
    
    Brax-based Problem
    
    Gym
    
    Env Pool
  - Supervised Learning
    
    Tensorflow Dataset
Workflows
- Standard Workflow
Monitors
- Evaluation Monitor
- Population Monitor
Metrics

Additional Resources

Examples
Miscellaneous
- Selecting GPU / CPU
- High VRAM usage

.md

Developer Guide

Developer Guide#

Working with state in EvoX
Jit-able components
Custom algorithms and problems in EvoX
Write & Build the Documentation

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Container Algorithms

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Working with state in EvoX

By Bill Huang

© Copyright 2022, Bill Huang.