Simplify the Shadow Variable Listener Implementation
Learn how to simplify creating listeners for planning list variables with the new shadow variable @CascadingUpdateShadowVariable.
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Ready to optimize your planning?
Get in touchLoad balancing and fairness in constraints
Discover how to bring fairness to your Timefold solution
Read moreHow to speed up Timefold Solver Startup Time by 20x with native images
Discover how to build a Spring native image and the benefits from doing so.
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Explore the performance of Java 22 against Java 21, this time also with GraalVM.
Read moreContinuous Planning Optimization with Pinning
Discover how to make non-disruptive, feasible adjustments to your already in-progress plans with Timefold, ensuring real-time adaptability to unexpected changes.
Read moreFast Planning Optimization with the Recommended Fit API
Discover how Timefold's Recommended Fit API offers swift, feasible adjustments to your plans, ensuring real-time adaptability to unexpected changes.
Read moreUse Multiple Solvers in the Same Application
Learn how to configure and inject multiple SolverManager instances in one application using Timefold Solver, tackling distinct planning problems seamlessly.
Read moreGenerate the optimal soccer schedule with Timefold
Learn how to code an automated tournament scheduling service with Timefold Solver
Read moreMigrate from score DRL to Constraint Streams
Migrate from OptaPlanner's score DRL to Constraint Streams in Timefold Solver for better performance and maintenance.
Read moreFueling Planning Optimization in Spring Boot
Discover how Timefold transforms Spring Boot into a versatile planning powerhouse, tackling complex optimization challenges with ease. Explore the benefits and integration steps in this article. Time to supercharge your Spring Boot projects!
Read moreHow fast is Java 21?
Explore the performance of Java 21 against Java 17, revealing minor improvements in micro-benchmarks and real-world scenarios.
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