The package converts R data onto input and data for LocalSolver, executes optimization and exposes optimization results as R data. LocalSolver (http://www.localsolver.com/) is an optimization engine developed by Innovation24 (http://www.innovation24.fr/). It is designed to solve large-scale mixed-variable non-convex optimization problems. The localsolver package is developed and maintained by WLOG Solutions (http://www.wlogsolutions.com/en/) in collaboration with Decision Support and Analysis Division at Warsaw School of Economics (http://www.sgh.waw.pl/en/).
|Author||Walerian Sokolowski [aut, cre, cph], Wit Jakuczun [aut, cph], Natalia Okinczyc [aut], Bogumil Kaminski [aut]|
|Date of publication||2014-06-18 00:29:05|
|Maintainer||Walerian Sokolowski <email@example.com>|
add.output.expr: Add expression to output of ls.problem.
clear.output.exprs: Remove all output expressions (see: 'add.output.expr').
google_example_1_data: Data set for google_machine_reassignment demo.
localsolver: R API to LocalSolver
lsp.model.example: Load LSP model example code.
ls.problem: Create problem instance from model formulated in LSP...
ls.solve: Solves a LocalSolver problem on data passed.
print.ls.problem: Prints an object of class ls.problem.
reset.lsp.params: Reset all ls.problem instance parameters.
set.params: Set ls.problem instance parameters.
set.temp.dir: Sets folder to use for the problem instance solving process...