Abstract
A fast, robust and efficient algorithm for solving the problem of scheduling two quay cranes with non-interference constraints at Narvik container terminal has been developed. To solve the problem, a genetic algorithm approach is used and adapted to the case of two cranes. This approach manages to provide practical solutions and significant time savings for a real-life crane-scheduling problem. Operators at Narvik container terminal find the solution to be user-friendly, and it allows the user to change parameter settings and obtain solutions in real time.
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