See: Description
Package | Description |
---|---|
org.moeaframework |
Convenience classes for using the MOEA Framework.
|
org.moeaframework.algorithm |
Implementations of various algorithms and support tools for working with
algorithms.
|
org.moeaframework.algorithm.pso |
Implementations of various Particle Swarm Optimization (PSO) algorithms.
|
org.moeaframework.algorithm.sa |
Implementations of various simulated annealing (SA) algorithms.
|
org.moeaframework.algorithm.single |
Implementations of various single-objective optimization algorithms.
|
org.moeaframework.analysis |
Tools for analyzing the runtime and end-of-run behavior of algorithms.
|
org.moeaframework.analysis.collector |
Collectors record information periodically during the execution of an
algorithm.
|
org.moeaframework.analysis.diagnostics |
Diagnostic tool for analyzing the runtime behavior of algorithms.
|
org.moeaframework.analysis.plot |
Basic 2D plotting support.
|
org.moeaframework.analysis.sensitivity |
Utilities for analyzing an algorithm using control maps and sensitivity
analysis.
|
org.moeaframework.analysis.tools |
Command line tools for solving optimization problems and analyzing the
results.
|
org.moeaframework.core |
Contains the core classes used by this framework.
|
org.moeaframework.core.comparator |
Contains dominance comparators and other comparators used by this framework.
|
org.moeaframework.core.configuration |
Support for configuring algorithms.
|
org.moeaframework.core.fitness |
Implementations of various fitness assignment methods.
|
org.moeaframework.core.indicator |
Collection of unary quality indicators for comparing the quality of
non-dominated approximation sets.
|
org.moeaframework.core.initialization |
Package of various initialization operators.
|
org.moeaframework.core.operator |
Package of various mutation and crossover operators.
|
org.moeaframework.core.operator.binary |
Collection of operators for binary-encoded variables.
|
org.moeaframework.core.operator.grammar |
Collection of operators for grammars for use with Grammatical Evolution
(GE).
|
org.moeaframework.core.operator.permutation |
Collection of operators for permutation variables.
|
org.moeaframework.core.operator.program |
Collection of operators for expression trees for use with Genetic
Programming (GP).
|
org.moeaframework.core.operator.real |
Collection of operators for real-encoded variables.
|
org.moeaframework.core.operator.subset |
Collection of operators for subset variables.
|
org.moeaframework.core.selection |
Package of various selection operators.
|
org.moeaframework.core.spi |
Defines the service provider interfaces (SPIs) and factories for
constructing problems, algorithms and operators.
|
org.moeaframework.core.termination |
Defines conditions for terminating runs.
|
org.moeaframework.core.variable |
Defines the various decision variables that may be used.
|
org.moeaframework.parallel |
Provides island model and other parallelization strategies for optimization
algorithms.
|
org.moeaframework.parallel.island |
Implementation of the island model parallelization strategy.
|
org.moeaframework.parallel.island.executor |
Executes an island model in some environment.
|
org.moeaframework.parallel.island.migration |
Implementations of island model migration strategies.
|
org.moeaframework.parallel.island.topology |
Implementations of island model topologies.
|
org.moeaframework.parallel.util |
Utilities for building parallel algorithms, including thead-safe versions of
some classes.
|
org.moeaframework.problem |
Package containing standardized problems and utility classes for working
with problems.
|
org.moeaframework.problem.BBOB2016 |
Package containing the BBOB 2016 bi-objective test problems.
|
org.moeaframework.problem.CDTLZ |
Package for the constrained DTLZ test problems.
|
org.moeaframework.problem.CEC2009 |
Test problems used for the CEC 2009 special session and competition.
|
org.moeaframework.problem.DTLZ |
Package for the scalable DTLZ test problem suite.
|
org.moeaframework.problem.LSMOP |
Package for the scalable LSMOP test problem suite.
|
org.moeaframework.problem.LZ |
Package for the complicated Pareto sets test suite by Hui Li and Qingfu
Zhang.
|
org.moeaframework.problem.misc |
Set of unconstrained and constrained numeric multiobjective test problems
aggregated by Van Veldhuizen [1].
|
org.moeaframework.problem.WFG |
Implementation of the Walking Fish Group (WFG) test suite of scalable
multiobjective problems.
|
org.moeaframework.problem.ZCAT |
Package for the scalable ZCAT test problem suite.
|
org.moeaframework.problem.ZDT |
Package for the ZDT test problem suite.
|
org.moeaframework.util |
Collection of general-purpose utilities.
|
org.moeaframework.util.distributed |
Classes to enable distributed computing.
|
org.moeaframework.util.format |
Classes for formatting data into a tabular format.
|
org.moeaframework.util.grammar |
Utilities for representing, parsing and building grammars for use in
Grammatical Evolution (GE).
|
org.moeaframework.util.io |
Collection of I/O utility classes.
|
org.moeaframework.util.progress |
Collection of classes for managing progress reporting, including providing
listeners for receiving progress updates and estimating remaining time.
|
org.moeaframework.util.sequence |
Classes for generating sequences of real numbers.
|
org.moeaframework.util.statistics |
Collection of statistical methods for determining certain properties of
collected samples.
|
org.moeaframework.util.tree |
Classes for representing, building and evaluating expression trees for use
in Genetic Programming (GP).
|
org.moeaframework.util.weights |
Routines for generating weights for decomposition and reference point
methods.
|
This document is the API specification for the MOEA Framework. The MOEA Framework is a free and open source Java library for developing and experimenting with multiobjective evolutionary algorithms (MOEAs) and other general-purpose optimization algorithms and metaheuristics. It supports genetic algorithms, differential evolution, particle swarm optimization, genetic programming, grammatical evolution, and more. Problems can be defined using real or integer-valued decision variables, permutations, binary arrays (bit strings), expression trees (programs), grammars, and any combination thereof. This makes the MOEA Framework one of the most comprehensive evolutionary algorithm libraries available.
For most users, the Executor
and
Analyzer
classes provide sufficient functionality
to execute and analyze MOEAs. The following table lists the algorithms
provided by the MOEA Framework and supported third-party libraries.
Algorithm | Type | Real | Binary | Permutation | Subset | Grammar | Program | Constraints | Provider |
---|---|---|---|---|---|---|---|---|---|
AbYSS | Scatter Search | Yes | No | No | No | No | No | Yes | JMetal |
AMOSA | Simulated Annealing | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
CDG | Differential Evolution | Yes | No | No | No | No | No | Yes | JMetal |
CellDE | Differential Evolution | Yes | No | No | No | No | No | Yes | JMetal |
CMA-ES | Evolutionary Strategy | Yes | No | No | No | No | No | Yes | Native |
DBEA | Decomposition | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
DE | Single Objective | Yes | No | No | No | No | No | Yes | Native |
ECEA | Genetic Algorithm | Yes | Yes | Yes | Yes | Yes | Yes | No | PISA |
ESPEA | Genetic Algorithm | Yes | Yes | Yes | No | No | No | Yes | JMetal |
eMOEA | ε-Dominance | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
eNSGAII | ε-Dominance | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
ES | Single Objective | Yes | No | No | No | No | No | Yes | Native |
FEMO | Genetic Algorithm | Yes | Yes | Yes | Yes | Yes | Yes | No | PISA |
GA | Single Objective | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
GDE3 | Differential Evolution | Yes | No | No | No | No | No | Yes | Native |
HypE | Indicator-Based | Yes | Yes | Yes | Yes | Yes | Yes | No | PISA |
IBEA | Indicator-Based | Yes | Yes | Yes | Yes | Yes | Yes | No | Native |
MOCell | Cellular | Yes | Yes | Yes | No | No | No | Yes | JMetal |
MOCHC | CHC Algorithm | No | Yes | No | No | No | No | Yes | JMetal |
MOEAD | Decomposition | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
MSOPS | Differential Evolution | Yes | No | No | No | No | No | Yes | Native |
NSGAII | Genetic Algorithm | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
NSGAIII | Reference Points | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
OMOPSO | Particle Swarm | Yes | No | No | No | No | No | Yes | Native |
PAES | Evolutionary Strategy | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
PESA2 | Genetic Algorithm | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
RSO | Single Objective | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
RVEA | Reference Vectors | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
SA | Simulated Annealing | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
SEMO2 | Genetic Algorithm | Yes | Yes | Yes | Yes | Yes | Yes | No | PISA |
SHV | Indicator-Based | Yes | Yes | Yes | Yes | Yes | Yes | No | PISA |
SIBEA | Indicator-Based | Yes | Yes | Yes | Yes | Yes | Yes | No | PISA |
SMPSO | Particle Swarm | Yes | No | No | No | No | No | Yes | Native |
SMSEMOA | Indicator-Based | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
SPAM | Indicator-Based | Yes | Yes | Yes | Yes | Yes | Yes | No | PISA |
SPEA2 | Genetic Algorithm | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Native |
VEGA | Genetic Algorithm | Yes | Yes | Yes | Yes | Yes | Yes | No | Native |
While the MOEA Framework provides a large collection of built-in algorithms, operators and problems, advanced users can take advantage of its object-oriented design to extend existing features or add new functionality. In addition, the service provider interface allows extending the software with algorithms and problems provided by third-party libraries. Any algorithms and problems working within the MOEA Framework can take advantage of its suite of diagnostic and statistical testing tools. As this project is academic in nature, every effort is taken to ensure the correctness, quality and openness of the codes.
Copyright 2009-2024 David Hadka and other contributors. All rights reserved.
Licensed under the GNU Lesser General Public License.
Return to the MOEA Framework homepage.