Real-Time Reservoir Flood Control Operation using Multi-Objective Jaya Algorithm

Reservoir flood control operation (RFCO) is a complicated problem due to the fact of decision-making and multi-objective. This paper develops a multi-objective reservoir flood control operation (MO-RFCO) using multi-objective Jaya algorithm (MOJA). The advantage of Jaya algorithm, it is not having algorithm-specific parameters and only has common controlling parameters such as population size and the number of iterations. The algorithm is implemented for MO-RFCO problem in the Ukai river basin (India) for various flood events. The objective of the study is to minimize the highest upstream water level and minimize the largest release volume. The results were compared with multi-objective particle swarm optimization (MOPSO), multi-objective differential evolutionary (MODE), and non-dominated sorting genetic algorithm II (NSGA-II). The result shows that MOJA is an alternative to solve complex RFCO problems, by reducing the flood peak and guarantee the dam safety.