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COPT 6.5 is released

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COPT 6.5 Highlights COPT 6.5 comes with many changes, most importantly: Greatly improved performance of the MIP solver . Added callback functionality, expanding the usage scenarios of the solver. Added support for general constraints (AND/OR/MAX/MIN/ABS/PWL) in the COPT Python API. Enhanced stability of indicator and SOS constraints by improved underlying implementation. COPT 6.5 Performance Overview The latest release of Cardinal Optimizer (COPT 6.5) has greatly improved the performance of our MIP solver, and further improved the speed and stability of our LP solver and other solvers. In the Benchmarks for Optimization Software performed by Prof. Hans Mittelmann, COPT ranks #1 in five benchmarks and ranks #2 in another five. We are working hard to further improve the performance of each solver module, please stay tuned! (based on results from Benchmarks for Optimization Software by Prof. Hans Mittelmann Date: May 4, 2023) For the p...

COPT 5.0 is released

COPT 5.0 highlights - Improved COPT MIP solver performance by 50% - Added COPT SDP solver, which outperforms all existing SDP solvers - Added a FeasRelax utility COPT 5.0 performance overview COPT 5.0 takes the leading position in several benchmark measurements, as shown in the summary below. COPT 5.0 performance ranking (based on results from Benchmarks for Optimization Software maintained by Hans Mittelmann, date: June 26, 2022) Benchmark Ranking Notes LP - Barrier 1 33% faster than Gurobi LP - Simplex 1 43% faster than Gurobi MIP - MIPLIB 2 2.34x of Gurobi's solution time SOCP 3 10% behind Mosek, 3% behind Gurobi Convex QP/QCP 1 103% faster than Gurobi SDP 1 128% faster than Mosek COPT has been leading the LP performance benchmarks for most of the time since the first releases of its simplex and barrier solv...