Workforce Planning with a Parallel Genetic Algorithm
نویسندگان
چکیده
A workforce planning problem is formulated here as a mixed-integer program and then solved with Cplex. Our experiments show that Cplex is capable of solving to optimality of near optimality small “structured” problem instances but it fails to solve those considered “unstructured”. We describe the development of a parallel genetic algorithm capable of finding high-quality solutions to both structured and unstructured problem instances. Additional enhancements to the genetic algorithm are necessary to improve upon competitive approaches to solving the problem at hand.
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