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pagmo 2.19.1 documentation
Contents:
Installation
Quick start
Capabilities
C++ tutorial
Preliminaries
Writing your first optimisation problem
Evolving a population
C++ API documentation
Types
Problem
Algorithm
Population
Island
Archipelago
Batch fitness evaluator
Topology
Replacement policy
Selection policy
Null algorithm
Artificial Bee Colony
Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES)
Compass Search
Differential Evolution
Self-adaptive Differential Evolution (DE 1220 aka pDE)
Extended Ant Colony Optimization (gaco)
Grey Wolf Optimizer (gwo)
Improved Harmony Search (IHS)
Ipopt
Multi-objective Hypervolume-based Ant Colony Optimizer (MHACO)
Multi-objective Evolutionary Algorithm by Decomposition (MOEA/D-DE)
Multi-objective Evolutionary Algorithm by Decomposition Generational (GMOEA/D-DE)
Monotonic Basin Hopping (MBH) - Generalized
Self-adaptive constraints handling
NLopt solvers
Non dominated sorting genetic algorithm (NSGA-II)
Non dominated sorting particle swarm optimization(NSPSO)
Particle Swarm Optimization (PSO)
Particle Swarm Optimization Generational (GPSO)
Self-adaptive Differential Evolution (jDE and iDE)
(N+1)-ES Simple Evolutionary Algorithm
Simple Genetic Algorithm
Simulated Annealing (Corana’s version)
Exponential Natural Evolution Strategies (xNES)
Null problem
Rosenbrock
Rastrigin
Schwefel
Ackley
Optimal Golomb Ruler
Griewank
Lennard Jones Cluster
ZDT test suite
DTLZ test suite
Hock Schittkowsky No.71
News-vendor problem
Luksan Vlcek 1
MINLP Rastrigin
Translate
Decompose
CEC 2006 Problem Suite (single-objective, constrained)
CEC 2009 Problem Suite (multi-objective, constrained and unconstrained)
CEC 2013 Problem Suite (box-bound, single objective)
CEC 2014 Problem Suite (box-bound, single objective)
Unconstrain
WFG problem test suite
Thread island
Fork island
Default BFE
Multithreaded BFE
Member function BFE
Unconnected topology
Fully connected
Base BGL topology
Ring
Free-form topology
Fair replacement policy
Best selection policy
Multi-objective optimization utilities
Constrained optimization utilities
Low-discrepancy sequences
Hypervolumes
Utilities for gradient and hessians
Genetic Operators
Generic utilities
Type traits and enums
Exceptions
Utility classes
Credits
Changelog
Repository
Open issue
.rst
.pdf
C++ tutorial
Contents
Basics
C++ tutorial
#
Preliminaries
Writing your first optimisation problem
Basics
#
Evolving a population
Contents
Basics