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Constraint optimization solver SCOP-SCOP
Constraint optimization solver SCOP-Log Opt Co., Ltd.

Constraint optimization solver SCOP
Log Opt Co., Ltd.


About This Product

■Summary

- A solver for quickly solving large-scale combinatorial optimization problems. - Since it uses a solution principle specialized for combinatorial optimization problems, it is possible to efficiently search for good solutions even for large-scale problems that cannot be solved with conventional mathematical optimization solvers. ・Can solve a wide range of combinatorial optimization problems

■Features

- Variables are defined in a different way from the mathematical optimization solver, so the number of variables can be reduced. - Allows for more natural logical constraint descriptions (easier for humans to understand) than mathematical optimization solvers. ・Since it is based on metaheuristics, it has one of the world's fastest search capabilities. ・Even large-scale problems can be solved extremely efficiently within a limited calculation time. - Provides data input using a simple modeling language and a Python language interface. Applicable questions

■It is possible to solve a wide range of combinatorial optimization problems. In particular, for assignment problems, it is possible to create very natural modeling that is easy for people to understand, and it is possible to provide good answers quickly.

・Optimization of personnel allocation ・Meeting scheduling ・Job assignment ・Room assignment ・Production optimization ・Determine order of input ・Advertisement allocation, etc.

■Supported OS environment

・Windows 64-bit ・Mac OS 64-bit ・Linux (Ubuntu) 64-bit

  • Product

    Constraint optimization solver SCOP

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