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