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Descarwin

The DAE and YAHSP temporal planning solvers

Install / Use

/learn @jdreo/Descarwin
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

README


DESCARWIN is concerned with the hybridization of Descartes (AI planning) and Darwin (Evolutionary Computation) in order to designing satisficing planners.

Here are the steps to build the project:

------------
COMMON STEPS
------------

0) Copy install-dist.cmake files in install.cmake
 * $ROOT/install-dist.cmake -> $ROOT/install.cmake
 * $ROOT/dae/install-dist.cmake -> $ROOT/dae/install.cmake

1) ParadisEO:
 * edit the file $ROOT/dae/install.cmake and define the variable PARADISEO_DIR
 * ensure to compile yourself openmpi statically and define the variable MPI_DIR
 * ensure to compile yourself boost::mpi statically and define the variables BOOST_*

2) [optional] use one of the scripts available to generate the build scripts the project, either:
 * use ./configure.py that will prompt for the configuration
 * mkdir builds/ and run ./make_build_scripts.py that will create all the possible build scripts with different configurations
 * run your own cmake command in the directory of your choice (for example: mkdir build; cd build; cmake .. for the defaults)

3) go to the new directory created (cf. release, debug, ...) and run `make`

4) Location of the generated binaries and libraries:
 * dae binaries are available in the directory dae,
 * cpt-yahsp binaries in cpt-yahsp directory,
 * all the libraries are in lib directory.


 ---------------------------
 AVAILABLE OPTIONS FOR CMAKE
 ---------------------------

You can launch cmake with these options in order to customize your version of dae :
"-DCMAKE_BUILD_TYPE=Debug" : compilation in debug mode. Without this option, release mode is default.
"-DDAE_WITH_MPI=yes" : compilation with OpenMPI and Boost::MPI  (message passing interface for parallelization).
"-DDAE_WITH_OMP=yes" : compilation with OpenMP (shared memory solution for parallelization).
"-DCPT_WITH_OMP=yes" : compilation of cpt-yahsp with OpenMP (shared memory solution for parallelization).
"-DCPT_WITH_MPI=yes" : compilation of cpt-yahsp with OpenMPI (message passing interface for parallelization).
"-DBUILD_DAE_MO=yes" : build the Multi-Objective version of DAE

Related Skills

View on GitHub
GitHub Stars6
CategoryDevelopment
Updated1y ago
Forks5

Languages

TeX

Security Score

55/100

Audited on Nov 20, 2024

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