A Novel Benefit Evaluation Model for Shore Power with Firefly Optimization Algorithm

Environmental security issues are increasingly becoming the focus of attention of the international community. In port cities, the exhaust gas from the generation systems of ships is an important source of pollution. The shore power systems can effectively reduce the air pollution problems. The complex costs and benefits of the shore power make it difficult to obtain optimal decisions. We calculate the net benefit of the shore power retrofit by proposing the benefit evaluation model. Furthermore, we propose the shore power based firefly optimization algorithm (SPBFOA) to search for optimal decisions. Specifically, algorithm prematurity is avoided by designing the hybrid encoding method, the protection of optimal decisions, and the auto-generation function. Finally, a decision search experiment based on EASIUR and APEEP is conducted, and the experimental results are discussed.