System dynamics simulation and optimization of aquacultural systems

Abstract This paper presents a combination of system dynamics and the linear programming model for optimal operation and management of aquacultural systems. The biological component of the model is presented by system dynamics methodology which can effectively incorporate inherent nonlinearity and time lag of the system. The economic component consists of a linear programming technique for scheduling the optimal harvests. The logical consistency and expected behaviour prediction, at least qualitatively, validates the model. The potentiality of the model is illustrated using data from a numerical example for a batch system. The models are programmed in BASIC suitable for microcomputers.