v0.2.0

RingStarProblems v0.2.0

Diff since v0.1.10

Patch release v0.2.0

✅ Now possible to use coordinates to solve RSP and 1-R-RSP, #12 closing

Solving with nodes coordinates

Either:

julia> x = 1:10
julia> y = rand(1:10, 10)
julia> RSP.rspoptimize(pars, x, y, GLPK.Optimizer)

Or:

julia> xycoors = tuple.(1:10, rand(1:10, 10))
julia> RSP.rspoptimize(pars, xycoors, GLPK.Optimizer)

✅ Several enhancements
✅ Code readability improved

Merged pull requests:

• Adding node coordinates support (#16) (@jkhamphousone)

v0.1.10

RingStarProblems v0.1.10

Diff since v0.1.9

Patch release v0.1.10

✅ Number of threads and time limit parameters now handled by user instead of RSPSolver.
✅ Several enhancements

v0.1.9

RingStarProblems v0.1.9

Diff since v0.1.8

Patch release v0.1.9

✅ Removing using Gurobi

using Gurobi was not necessary and lead to an error on precompilation

v0.1.8

RingStarProblems v0.1.8

Diff since v0.1.7

Patch release v0.1.8

✅ plotting solutions is now available
✅ several enhancement and minor bug fixes

julia> using GraphPlot, Compose, Colors
julia> pars.plotting = true

v0.1.7

RingStarProblems v0.1.7

Diff since v0.1.6

Patch release v0.1.7

✅ Using Symbol to name instances instead of Strings:

symbolinstance = :TinyInstance_12_2
julia> RSP.rspoptimize(pars, symbolinstance, optimizer_with_attributes(GLPK.Optimizer,
			"msg_lev" => GLPK.GLP_MSG_ALL,
			"tm_lim" => pars.timelimit)

Was previously:

id_instance = 3
julia> RSP.rspoptimize(pars, id_instance, optimizer_with_attributes(GLPK.Optimizer,
			"msg_lev" => GLPK.GLP_MSG_ALL,
			"tm_lim" => pars.timelimit)

And

julia> symbolinstance = :berlin52
julia> RSP.rspoptimize(pars, symbolinstance, optimizer_with_attributes(Gurobi.Optimizer,
		"TimeLimit" => pars.timelimit))

Was previously:

julia> id_instance = 14
julia> RSP.rspoptimize(pars, id_instance, optimizer_with_attributes(Gurobi.Optimizer,
		"TimeLimit" => pars.timelimit))

v0.1.6

RingStarProblems v0.1.6

✅ As mentioned in #11 the solver is now optimizer agnostic!
✅ Currently supports GLPK and Gurobi
✅ Bug fixes
✅ RingStarProblems.jl is not "an empty" package anymore, see here.

• Can not support SCIP, it doesn't support Lazy Constraints Callbacks
• Solver remaining to test: CPLEX and Xpress (Any feedback on these solvers is most welcome!)

According to JuMP manual, the supported solver for Lazy Constraints Callbacks are:

• CPLEX, GLPK, Xpress, Gurobi

Next patch objectives:

• Continue document (DocString)
• CodeCoverage is only 17.82%, to improve, some files are at 0% because they are future functionalities for the project, and they lower the percentage.
  

Diff since v0.1.5

v0.1.5

RingStarProblems v0.1.5

Diff since v0.1.4

v0.1.4

RingStarProblems v0.1.4

Diff since v0.1.2

Patch release v0.1.4

• Solving a small bug when calling rspoptimize

v0.1.2 Dedicated Types instead of String Literals for Solver Parameters

Now using Dedicated Types for solver's parameters instead of Strings #5

A big high five to @nsajko for suggesting it!

Other release improvements

• Refactoring of several datatypes and variable names to be more compliant with Julia style guide
• Improving README.md, adding tags and deleted unwanted branches "master"
• Applying JuliaFormatter.jl
• Deleting some useless files
• Compatibily issues fixed
• Create ] test for UnitTest and solutionchecker
• Removing uncessary files and folders (debug)

Plan for upcomming in v0.2.0

• Documenter.jl deployed and extensive documentations for the solver
• Add a All contributors page
• Pass all disambiguity tests from Aqua.jl, currently 37 disambiguities (1 Broken if ambiguities = (exclude = [], broken = true))

v0.1.0

RingStarProblems v0.1.0

Merged pull requests:

• Merge main to master (#1) (@jkhamphousone)