Package org.moeaframework.algorithm

package org.moeaframework.algorithm

Implementations of various algorithms and support tools for working with algorithms.

Related Packages

Package	Description
org.moeaframework	Convenience classes for using the MOEA Framework.
org.moeaframework.algorithm.continuation	Extends an algorithm with "continuations" or "restarts", where we periodically reseed an algorithm with random solutions and optionally adjust the settings.
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.

Class	Description
AbstractAlgorithm	Abstract class providing default implementations for several Algorithm methods.
AbstractEvolutionaryAlgorithm	Abstract class providing default implementations for several EvolutionaryAlgorithm methods.
AlgorithmException	An exception that originated from an algorithm.
AlgorithmInitializationException	An exception that originated from an algorithm during initialization.
AlgorithmTerminationException	An exception that originated from an algorithm during termination.
Checkpoints	Decorates an Algorithm to periodically save checkpoint files from which the algorithm can resume itself if unexpectedly terminated.
CMAES	The Covariance Matrix Adaption Evolution Strategy (CMA-ES) algorithm for single and multi-objective problems.
DBEA	Implementation of the Improved Decomposition-Based Evolutionary Algorithm (I-DBEA).
DefaultAlgorithms	A provider of default algorithms.
EpsilonMOEA	Implementation of the ε-MOEA algorithm.
EpsilonNSGAII	Implements the ε-NSGA-II algorithm.
GDE3	Implementation of the Generalized Differential Evolution (GDE3) algorithm.
IBEA	Implementation of the Indicator-Based Evolutionary Algorithm (IBEA).
MOEAD	Implementation of MOEA/D, the multiobjective evolutionary algorithm with decomposition.
MSOPS	Implementation of the Multiple Single Objective Pareto Sampling (MSOPS) algorithm.
MSOPSRankedPopulation	Population implementing the ranking scheme used by the Multiple Single Objective Pareto Sampling (MSOPS) algorithm.
NSGAII	Implementation of NSGA-II, with the ability to attach an optional ε-dominance archive.
NSGAIII	Implementation of NSGA-III.
PAES	Implementation of the (1+1) Pareto Archived Evolution Strategy (PAES).
PESA2	Implementation of the Pareto Envelope-based Selection Algorithm (PESA2).
RandomSearch	Random search implementation.
ReferencePointNondominatedSortingPopulation	Implementation of the reference-point-based nondominated sorting method for NSGA-III.
ReferenceVectorGuidedPopulation	A reference vector guided population, for use with RVEA, that truncates the population using the method outlined in [1].
RVEA	Implementation of the Reference Vector Guided Evolutionary Algorithm (RVEA).
SMSEMOA	Implementation of the S-metric Selection MOEA (SMS-MOEA).
SPEA2	Implementation of the strength-based evolutionary algorithm (SPEA2).
SPEA2.MutableDistanceMap	Mapping of pair-wise distances between points.
VEGA	Implementation of the Vector Evaluated Genetic Algorithm (VEGA).