The JuLeS framework (short for Julia Local Search)1 is a versatile and highly customizable platform for quickly creating Local Search solvers. Developed using the Julia programming language, JuLeS enables efficient implementation of solvers, facilitates the development of new meta-heuristic algorithms, and easily integrates with existing tools. The overhead of the framework with respect to existing C++ frameworks is moderate, but it benefits from a lower programming effort and integrability into the Julia ecosystem. The design, architecture, and features of JuLeS are explained and its effectiveness is demonstrated through three use cases that highlight its design achievements.
