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Evolver 2.4 documentation - Home Evolver 2.4 documentation - Home
  • GitHub
  • GitHub

GETTING STARTED

  • Introduction
  • Installation
  • Project Structure
  • Examples

TUTORIALS

  • Tutorials

ALGORITHMS

  • Algorithm guides

CONCEPTS

  • Meta-Optimization Approach
  • Parameter Spaces
  • Solution Encoding
  • Solution Evaluation
  • Objective Functions
  • Base-Level Metaheuristics
  • Meta-Optimization-Level Metaheuristics

ADVANCED TOPICS

  • API Reference
  • Glossary

UTILITIES

  • CLI Tools

PROJECT INFO

  • Contributing
  • Changelog
  • Frequently Asked Questions

Index

A | B | C | D | E | F | G | H | I | J | L | M | N | P | Q | R | S | T | U | Y | Z

A

  • API
  • Archive

B

  • Base-level Metaheuristic

C

  • CI/CD
  • Constraint Handling
  • Convergence
  • Crossover
  • Crowding Distance

D

  • DE
  • Diversity
  • Dominance

E

  • Epsilon Indicator

F

  • Feasible Solution
  • Fitness Function

G

  • Generation
  • Global Search

H

  • Heuristic
  • Hypervolume (HV)

I

  • IGD
  • Integration Test

J

  • Javadoc
  • JVM

L

  • Local Search

M

  • Meta-optimization
  • Metaheuristic
  • MOEA
  • Multi-objective Optimization
  • Mutation

N

  • Non-dominated Solution
  • Non-dominated Sorting
  • NSGA-II

P

  • Parallelization
  • Parameter Space
  • Parameter Tuning
  • Pareto Front
  • Pareto Optimality
  • Population
  • PSO

Q

  • Quality Indicator

R

  • RDEMOEA
  • Reference Front
  • Robustness
  • RST

S

  • Scalability
  • Selection
  • Single-objective Optimization
  • SMPSO
  • Solution Encoding
  • Sphinx

T

  • TSP

U

  • Unit Test

Y

  • YAML

Z

  • ZDT/DTLZ

© Copyright 2025, Antonio J. Nebro.

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