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As MIP models grow, solve times and performance variability rise. ODH adds intelligent decomposition and parallel search with Xpress to deliver better feasible solutions, tighter bounds, and more proven optima on challenging instances.

Harrington Park, NJ — December 29, 2025 — We successfully solved the MIPLIB benchmark instance bley_xs1noM, achieving an objective value of 3,855,895.86 and proving the solution optimal with a 0.00% optimality gap using ODH|Xpress. MIPLIB instances are widely used to benchmark mixed-integer optimization performance across a broad range of real-world problem structures. Achieving a provably optimal…

Harrington Park, NJ — January 1st, 2025 — We have achieved a new best feasible solution for the MIPLIB benchmark instance bharat, improving the incumbent objective from 4,170,993 to 4,139,915.438 using our mixed-integer optimization workflow. This improvement represents a 31,077.562 reduction in the objective (approximately 0.75%), strengthening the best-known solution quality for this challenging benchmark…

Harrington Park, NJ — December 28, 2025 — We have generated a first reported feasible solution for the MIPLIB 2017 benchmark instance neos-4358725-tagus using ODH|Xpress, achieving an objective value of 6,762.060133. At the time of our run, MIPLIB listed no solution available for this instance. The instance neos-4358725-tagus is a large-scale mixed-binary optimization model submitted by…

Harrington Park, NJ — December 26, 2025 — We successfully solved the MIPLIB 2017 benchmark instance minutedispatchstrategy, achieving an objective value of 3,109.903 and closing the solver-reported optimality gap to 0.00%using ODH|Xpress. The instance minutedispatchstrategy is described in MIPLIB as a dispatch strategy for a small micro-grid and is a large-scale mixed-binary optimization model with…

Harrington Park, NJ — December 20, 2025 — We successfully solved the MIPLIB 2017 benchmark instance bley_xs1.mps, finding a solution with objective value 3,855,895.86 and proving it optimal (0% optimality gap) using ODH|Xpress (https://miplib.zib.de/instance_details_bley_xs1.html). MIPLIB instances are widely used as demanding, standardized benchmarks for mixed-integer programming (MIP). Achieving a provably optimal solution on these models…

https://submissions.mirasmart.com/InformsAnnual2025/Itinerary/PresentationDetail.aspx?evdid=6452 8:12 AM – 8:24 AM Alkiviadis Vazacopoulos, Optimization Direct, Inc.; Robert Ashford, Optimization Direct, Inc.. As optimization challenges grow increasingly complex across industries, traditional solvers often fall short when faced with large-scale, multi-constraint decision models. Optimization Direct Heuristics (ODH) for FICO® Xpress represents a transformative enhancement in optimization technology—enabling organizations to overcome long-standing performance…

Every major industry today relies on optimization — for supply chain planning, grid expansion, workforce allocation, transportation routing, and more. Yet there is a persistent problem experts know all too well: Even the best MIP solvers eventually hit a wall. Models grow too large. Run times become unpredictable. Feasible solutions arrive late — or not…

Hollywood FL, May 2025 Enhancing Mathematical Optimization with Generative AI: Insights from the FICO Xpress Workshop By Dr. Alkis Vazacopoulos, Vice President, Optimization Direct In an era where decision intelligence and optimization are converging with generative AI, the recent FICO World Optimization Forum in May 2025 spotlighted a transformative vision: how generative AI can elevate…