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  • v0.5.0
    aeca60f8 · Baryonyx: v0.5.0 ·
    * project:
      * add [codecov.io](https://codecove.io) to produce coverage reports in travis
      * use Visual Studio 2019 image in appveyor
      * [boost/ut](https://github.com/boost-experimental/ut): use boost.UT v1.1.6
      * [fmtlib/fmt](https://fmt.dev/latest/index.html): bump to version v6.1.1
    
    * optimizer:
      * use a evolutionary algorithm to init/reinit solver. In optimization mode, Baryonyx stores all solutions found during search. Two algorithms are used to initialize the X vector:
        * A crossover/mutation using two solutions is used to re-initialize the solver.
        * An improve mode using a dynamical kappa.
      * Quadratic objective function: Experimental support.
      * Z-coefficient: Enable the Z-coefficient solver.
      * random-solver: This solver is enabled with the `--random` command line option
      and in the `solver_parameters::solver_type`. It provides a pure random solver without any preference and Lagrangian relaxation. It is provided only for benchmark.
      * add Lagrangian multipliers sign change detection.
    
    * c++:
      * solvers: replace `fill` and `copy` with `fill_n` and `copy_n` equivalent.
      * solvers: replace `std::vector<T>` with a new `bit_array` to improve cache  efficiency
      * main: fix signed/unsigned warning
    
    * solver
      * negative coefficient solvers: fix R access
      * add pi signed change detection
      * improve efficiency of random-solver
      * add reset function to reinit solver
      * solver: move normalized cost in thread part
    
    * optimizer:
      * replace time limit detection algorithm
      * add pi signed change detection to build a new constraint remaining list
    
    * benchmark:
      * fix sort functor behaviour
    
    * main:
      * fix time-limit parameter assignation
      * missing or malformed parameters equal error
      * fix infinity norm string
      * add a `--debug` mode.
    
    * CMake:
      * reduce warning level for msvc
      * use the BUILD_SHARED_LIBS CMake option to build share library. Default, a
         static library is build to enable all internal test that use private API.
    
  • v0.4.0
    a33fafb9 · Barynoyx: v0.4.0 ·
    Bump C++ dependency to C++17 standard.
    
    * benchmark: add a second output `csv` file with the rank for each solvers and
      models to show best solver.
    
    * Optimize all solver algorithms to improve performance: rewrite and
      generalize.
    
    * Improve the `best-cycle` algorithm: is no best solution was found for three
      complete optimization, solver restart to `bastert-cycle`.
    
    * Fix the initialization cycle behaviour.
    
    * Fix the random normalization behaviour.
    
    * Remove useless header (sparse-vector etc), dead code.
    
  • v0.3.4
    2adc9013 · Baryonyx: v0.3.4 ·
    v0.3.4
    
    * Add a benchmark mode to permit to run benchmark on a set of problems described in a `csv` files and make easy comparison.
    * Improve colour rendering in log system. Replace specific Linux/Unix source code about colour in (pseudo)terminal with the `fmt::text_style` and `fmt::terminal_color` enumeration.
    * Add warning message for unknown parameters
    
    * core: add init policy cycle:
      * `bastert` (default): use cost values.
      * `random`: use random value.
      * `best`: use best solution found if available (`bastert` otherwise).
      * `bastert-cycle`: start with bastert policy then start a cycle between random, best and bastert.
      * `random-cycle`: start with random policy then start a cycle between best, bastert and random.
      * `best-cycle`: start with best policy then start a cycle between bastert, random and best.
    
    * core: add lagrangian runtime constraint order.
      * `lagrangian-decr`: sort violated constraints according to the Lagrangian multiplier values in decremental order.
      * `lagrangian-incr`: sort violated constraints according to the Lagrangian multiplier values in incremental order
    
  • v0.3.3
    5be01e5a · Baryonyx: v0.3.3 ·
    baryonyx v0.3.3 - 2018-10-04
    
    main:
    
    * output: better render output float number
    
    solver/optimizer:
    
    * Fix the preference matrix assignment for both equalities and inequalities
    with -1 and 1 coefficients, we replace the preference matrix clean up algorithm
    (invert the variable values for negative coefficients) with a version that
    revert only the added or subtracted value during the preferences update
    process.
    * Fix core dump if no solution are found
    
    preprocessor:
    
    * update the preprocessing solver option: Replace the old preprocessing option
    with new one but without description (p1, p2, p3 and p4). Options are `none` to
    use the raw problem (or lp file) order for constraints and variables. `memory`,
    the default, to use the raw problem (or lp file) order for constraints but sort
    the variables to improve the memory cache efficiency.
    
  • v0.3.2
    0d71d19e · Baryonyx: v0.3.2 ·
    v0.3.2
    
  • v0.3.1
    fce93625 · Baryonyx: v0.3.1 ·
    v0.3.1
    
  • v0.3.0.0
    30395800 · Baryonyx: v0.3.0 ·
    v0.3.0.0
    
  • ROADEF2018-conf
    Version used to bench Baryonyx for the ROADEF 2018 conference
    
  • v0.2.3.0
    1eb9b997 · Baryonyx v0.2.3.0 ·
    v0.2.3.0
    
  • v0.2.2.0
    3c7c1b0b · Baryonyx v0.2.2.0 ·
    v0.2.2.0
    
  • v0.2.1.0
    14fbdfb7 · Baryonyx v0.2.1.0 ·
    v0.2.1.0
    
  • v0.2.0.0
    ee2b44f2 · Baryonyx v0.2.0.0 ·
    v0.2.0.0
    
  • v0.1.0.0
    v0.1.0.0