ai.timefold.solver » timefold-solver-jpa
Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the JPA and Hibernate integration.
更新时间: 2024-06-19 23:25ai.timefold.solver » timefold-solver-jaxb
Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the JAXB integration.
更新时间: 2024-06-19 23:25ai.timefold.solver » timefold-solver-jackson
Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the Jackson integration.
更新时间: 2024-06-19 23:25ai.timefold.solver » timefold-solver-ide-config
Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the IDE configuration files used for formatting Timefold's source code.
更新时间: 2024-06-19 23:25ai.timefold.solver » timefold-solver-docs
Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module builds the documentation.
更新时间: 2024-06-19 23:25ai.timefold.solver » timefold-solver-core
Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. Aggregate dependency to bring in timefold-solver-core and all the score directors.
更新时间: 2024-06-19 23:25ai.timefold.solver » timefold-solver-benchmark
Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the benchmarker toolkit.
更新时间: 2024-06-19 23:25ai.timefold.solver » timefold-solver-build-parent
timefold-solver-build-parent
更新时间: 2024-06-19 23:25ai.timefold.solver » timefold-solver-bom
Import this BOM in your dependencyManagement if you want to depend on multiple Timefold artifacts.
更新时间: 2024-06-19 23:25ai.timefold.solver » spring-boot-integration-test
spring-boot-integration-test
更新时间: 2024-06-19 23:25ai.timefold.solver » timefold-solver-examples
Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the examples which demonstrate how to use it in a normal Java application.
更新时间: 2024-04-09 14:36ai.timefold.solver » timefold-solver-core-parent
Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains implementation of the solver and various optional scoring mechanisms.
更新时间: 2024-03-26 20:05ai.timefold.solver » timefold-solver-core-impl
Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the planning engine itself.
更新时间: 2024-03-26 20:05ai.timefold.solver » timefold-solver-constraint-streams
Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the implementation of Constraint streams.
更新时间: 2024-03-26 20:05ai.timefold.solver » timefold-solver-xstream
Timefold solves planning problems. This lightweight, embeddable planning engine implements powerful and scalable algorithms to optimize business resource scheduling and planning. This module contains the deprecated XStream integration.
更新时间: 2023-12-04 17:01仓库 | 个数 |
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