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cmaes

cmaes Single objective optimization using a CMA-ES. cran_package_id:  2711 cran_package_latest_version_id: cmaescran_package_users_count:  0 cran_package_score:  0 Overall: 0Your rating:...

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neldermead

neldermead Provides several direct search optimization algorithms based on the simplex method. The provided algorithms are direct search algorithms, i.e. algorithms which do not use the derivative of...

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alabama

alabama Augmented Lagrangian Adaptive Barrier Minimization Algorithm for optimizing smooth nonlinear objective functions with constraints. Linear or nonlinear equality and inequality constraints are...

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optimx

optimx Provides a replacement and extension of the optim() function to unify and streamline optimization capabilities in R for smooth, possibly box constrained functions of several or many parameters....

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pso

pso The package provides an implementation of PSO consistent with the standard PSO 2007/2011 by Maurice Clerc et al. Additionally a number of ancillary routines are provided for easy testing and...

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RcppDE

RcppDE This package provides an efficient C++ based implementation of the DEoptim function which performs global optimization by differential evolution. Its creation was motivated by trying to see if...

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soma

soma This package provides an R implementation of the Self-Organising Migrating Algorithm, a general-purpose, stochastic optimisation algorithm. The approach is similar to that of genetic algorithms,...

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rneos

rneos Within this package the XML-RPC API to NEOS is implemented. This enables the user to pass optimization problems to NEOS and retrieve results within R. cran_package_id:  4018...

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rmosek

rmosek An interface to the MOSEK optimization library designed to solve large-scale mathematical optimization problems. Supports linear, quadratic and second order cone optimization with/without...

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ROI

ROI The R Optimization Infrastructure (ROI) package provides a sophisticated framework for handling optimization problems in R. cran_package_id:  4747 cran_package_latest_version_id:...

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