Artificial Bee Colony (ABC) Approach for Reservoir Operation
Most reservoirs offer a mean of managing and regulating the downstream water flow and demands over time and space. It is a challenging task for the reservoir operator to evaluate the trade-off during drought and heavy rainfall season. This study proposes a review on the application of different computational intelligent models, especially the Artificial Bee Colony (ABC) approach in reservoir inflows and management optimization. For each model, their attempts and efficiencies along with difficulties are illustrated and well studied. The benefits derived from such comparison are used to improve the searching performance of existing models. ABC approach has gained a great potential in solving the reservoir optimization problem due to its powerful exploitation capabilities and high quality of optimal solutions. As a consequence, future works that include extend of handling a promising and viable optimization tool in an efficient and effective manner need to be further revised.
Keywords- Artificial Bee Colony, Reservoir Optimization