jMetal project documentation ============================ *Author: Antonio J. Nebro* jMetal is an open source Java-based framework for multi-objective optimization with metaheuristics. It includes a wide set of resources, including state-of-the-art multi-objective algorithms, solution encodings, benchmark problems, quality indicators, and utilities for performing experimental studies. The current stable version is 6.2 (https://github.com/jMetal/jMetal). The working version in GitHub is 6.3-SNAPSHOT. jMetal is described in the following papers: * `jMetal: A Java framework for multi-objective optimization `_. jMetal 4 * `Redesigning the jMetal Multi-Objective Optimization Framework `_. jMetal 5 * `Automatic configuration of NSGA-II with jMetal and irace `_. jMetal 6 * `Evolving a Multi-objective Optimization Framework `_. jMetal 6 Summary of features: * Multi-objective algorithms: NSGA-II, SPEA2, PAES, PESA-II, OMOPSO, MOCell, AbYSS, MOEA/D, GDE3, IBEA, SMPSO, SMPSOhv, SMS-EMOA, MOEA/D-STM, MOEA/D-DE, MOCHC, MOMBI, MOMBI-II, NSGA-III, WASF-GA, GWASF-GA, R-NSGA-II, CDG-MOEA, ESPEA, SMSPO/RP, AGEMOEA, CDG, FAME, MicroFAME, MOSA. * Single-objective algorithms: genetic algorithm (variants: generational, steady-state), evolution strategy (variants: elitist or mu+lambda, non-elitist or mu, lambda), DE, CMA-ES, PSO (Stantard 2007, Standard 2011), Coral reef optimization. * Parallel models: Synchronous (multi-threaded, Apache Spark), asynchronous * Variable representations (encodings): binary, real, integer, permutation, mixed * Problems: - Problem families: ZDT, DTLZ, WFG, RE, CRE, FDA, CEC2009, LZ09, GLT, MOP, LIRCMOP, MOP, UF - Classical problems: Kursawe, Fonseca, Schaffer, Viennet2, Viennet3 - Constrained problems: Srinivas, Tanaka, Osyczka2, Constr_Ex, Golinski, Water, Viennet4 - Combinatorial problems: multi-objective TSP - Academic problems: OneMax, OneZeroMax * Quality indicators: hypervolume, normalized hypervolume, spread, generational distance, inverted generational distance, inverted generational distance plus, additive epsilon. * Support for experimental studies * Support for automatic algorithm configuration and design .. toctree:: :maxdepth: 2 :hidden: :caption: Introduction about.rst installation.rst quickStart.rst .. toctree:: :maxdepth: 2 :hidden: :caption: Basics structure.rst encodings.rst algorithms.rst problems.rst operators.rst constraints.rst qualityIndicators.rst .. toctree:: :maxdepth: 2 :hidden: :caption: Advanced experimentation.rst parallel.rst component.rst autoconfiguration.rst mnds.rst api.rst