I continue to be struck by the variety of applications found in my Google or Semantic Scholar “alerts” for papers citing mine. Of course, this doesn’t necessarily mean that my work played any serious role in theirs, but since the papers of mine cited almost certainly involve constraint satisfaction it does illustrate the way constraint satisfaction can relate to so many other fields. Some recent examples:
- AdaptiFont: Increasing Individuals’ Reading Speed with a Generative Font Model and Bayesian Optimization
- Variability-intensive applications over highly-configurable platforms: Early feasibility and optimality analysis
- General Policies, Representations, and Planning Width
- Instance Space Analysis for the Job Shop Scheduling Problem
- Adaptive and interchangeable neural networks utilizing predicting information (patent)
- Confidence Adaptive Anytime Pixel-Level Recognition
- An Application of Constraint Propagation to Data-Flow Analysis

Another example CP practicality: when traditional rule engines stop short, CP helps to resolve conflicts among business rules by implementing the Defeasible Logic approach: https://openrules.wordpress.com/2013/08/14/solving-rule-conflicts-part-2/