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CPLEX / Decision optimization forums moved last month to IBM community For AI practitioners, data scientists, SPSS and Watson Studio users , some easy entry points for CPLEX / Decision Optimization : What is optimization in a very simple ...
Welcome to the Decision Optimization group! You just reached the new IBM Community for Decision Optimization. This group replaces the legacy forums on DeveloperWorks, and their content is currently being migrated here in order to preserve the knowledge ...
Hi, I was not explicit enough in https://community.ibm.com/community/user/datascience/communities/community-home/digestviewer/viewthread?GroupId=5557&MessageKey=3349c730-d690-4322-aee9-be1e722fb2f2&CommunityKey=ab7de0fd-6f43-47a9-8261-33578a231bb7&tab=digestviewer&ReturnUrl=%2fcommunity%2fuser%2fdatascience%2fcommunities%2fcommunity-home%2fdigestviewer%3fcommunitykey%3dab7de0fd-6f43-47a9-8261-33578a231bb7%26tab%3ddigestviewer ...
Decision Optimization in Cloud Pak for Data - Step by Step videos The following videos show everything from end-to-end to use Decision Optimization in Cloud Pak for Data, including setting up the environment for a new user. 1- Create an IBM id ...
CPLEX Optimization Studio 20.1 was released on Dec. 11th, 2020. This version includes in particular three new features that are described in separate blog posts: Blackbox expressions in CP Optimizer Connection to databases in OPL Better ...
In OPL 20.1, we have introduced a new extension framework. This framework allows OPL to read data from databases using statements in a .dat file. Using this framework, you can build a custom database connection handler. There are prebuild database connections ...
Black-box expressions Constraint Programming (CP) is known for its expressiveness for modeling and solving combinatorial optimization problems. In particular, CP uses predefined expressions, such as product or division between variables ( x*y*z , x/y ...
A new parameter emphasis mip 5 allows to find solutions 1.8x faster with CPLEX 20.1 . CPLEX has been developed for 30+ years with one performance objective: be as fast as possible to prove the optimality of the best solution that it can find for ...