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Soft Constraints and Hard Constraints - Python Automation and Machine Learning for ICs - - An Online Book - |
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Python Automation and Machine Learning for ICs http://www.globalsino.com/ICs/ | ||||||||
Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix | ||||||||
================================================================================= Soft constraints and hard constraints are concepts used in optimization and constraint satisfaction problems to describe different levels of requirement strictness.
For instance, consider a scheduling problem where we need to assign tasks to workers. Some constraints could be:
In this example, exceeding 8 hours would be unacceptable (hard constraint), but exceeding 6 hours incurs a penalty (soft constraint). Soft constraints are commonly used in various optimization and machine learning scenarios where finding a solution that meets all requirements is difficult, and a trade-off must be made. Penalty terms associated with soft constraints help guide the optimization process towards solutions that are feasible while considering the importance of each constraint.
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