ehsan66/emoptim: Evolutionary Multimodal Optimimization

Multimodal optimization is concerned with locating multiple optima in one single run. The current implemented algorithms are i) Fitness-Euclidean distance Ratio Particle Swarm Optimization with Local Search (FERPSOLS) and ii) Neighborhood based Crowding Differential Evolution (NCDE) to solve multimodal optimization problems. FERPSOLS is suitable for multiglobal optimization and NCDE has better performance for multilocal optimization problems.

Getting started

Package details

Maintainer
LicenseGPL (>= 2)
Version0.9.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("ehsan66/emoptim")
ehsan66/emoptim documentation built on May 13, 2017, 3:04 p.m.