A Hybrid Algorithm for Distribution Problems.

This article discusses how a hybrid algorithm based on a genetic algorithm (GA) and linear programming helps minimize distribution costs for the Scandinavian pulp producer Sodra Cell. The GA considers a planner's perspective by defining an individual schedule as the sequences of routes for all ships in a fixed fleet. Because the GA operates on a pool of potential solutions, constantly adjusting them to better fit the requirements, it can suggest multiple solutions. Furthermore, it can serve as a core algorithm in a support system where one can apply small changes to the set of constraints without a cold start. Applying the GA to Sodra Cell's real-world case and comparing it to mixed-integer-programming approach revealed competitive results. INSET: Related Work in Genetic Algorithms..