[{"data":1,"prerenderedAt":12},["ShallowReactive",2],{"stack-tr-en-ibm-cplex":3},{"tagline":4,"description":5,"strengths":6,"useCase":11},"IBM's optimization solver, bundled with CP Optimizer and the OPL modeling language.","IBM ILOG CPLEX Optimization Studio pairs the CPLEX solver (LP, MILP, QP, MIQCP, with simplex, barrier and branch-and-cut) with CP Optimizer, a constraint-programming engine built for scheduling, and the OPL modeling language with its IDE. It integrates with Python (docplex), C++, Java and .NET, and runs as a managed service through Decision Optimization on IBM watsonx.ai or Cloud Pak for Data. It's our choice when a client already runs on IBM tooling, or when a problem mixes combinatorial constraints and linear optimization in the same model.",[7,8,9,10],"CPLEX: LP, MILP, QP and MIQCP with simplex, barrier and branch-and-cut.","CP Optimizer: constraint programming purpose-built for scheduling and sequencing.","OPL and its IDE: readable models, separate data, side-by-side scenarios.","Decision Optimization: managed execution on watsonx.ai and Cloud Pak for Data.","Shop-floor scheduling, fleet planning, network and portfolio optimization.",1792675979713]