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Optimization Direct creates new algorithm for massive MIP models

With bigger and more global data sets, customers are presenting increasingly large and complex models to optimize. With these massive models, established optimization technology generally fails in that it can either find no solution at all or solutions that take too long to find or are too poor to have any value. ODHeuristics, a new algorithm created by Optimization Direct, is designed to run on modern multiprocessor machines. Many cores (24+ ideal) are exploited by the ODHeuristics engine by breaking complex models and difficult MIPs into sub-models and solving them in parallel threads.

Optimization Direct has combined the new algorithm with CPLEX in the ODH-CPLEX Optimizer specifically to find solutions to massive MIP models of the big data era. The ODHeuristics engine is run under CPLEX in both deterministic or opportunistic modes; the combination of the two requires more memory and processor resources, but ODH accelerates CPLEX and helps CPLEX heuristics and finds good solutions to these massive data sets.

ODHeuristics is designed for scheduling problems but works for any MIP that has a reasonable number of integer feasible solutions. It has been deployed effectively on packing problems, supply chain and telecoms as well as scheduling applications. On large-scale MIPs it provides good solutions and optimality measures that are often beyond the reach of traditional optimization methods.

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2018 INFORMS Conference on Business Analytics and Operations Research
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