YesThis paper proposes the application of a
genetic algorithm based methodology for the scheduling
of storage tanks. The proposed approach is an
integration of GA and heuristic rule-based techniques,
which decomposes the complex mixed integer
optimisation problem into integer and real number subproblems.
The GA string considers the integer problem,
and the heuristic approach solves the real number
problems within the GA framework. The algorithm is
demonstrated for a test problem related to a water
treatment facility at a port, and has been found to give a
significantly better schedule than those generated using a
heuristic-based approach
