Reservoir operation management using a new hybrid algorithm of Invasive Weed Optimization and Cuckoo Search Algorithm

Abstract

Water scarcity throughout the world has led to major difficulties and complexities in managing water demands. These challenges gravitate towards the development of efficient methods for optimal reservoir operation. The present study aims to introduce a hybrid approach which integrates Invasive Weed Optimization (IWO) and Cuckoo Search Algorithm (CSA), with an objective to minimize the deficits for Indira Sagar Reservoir (ISR), India. To prevail over the limitations of the Weed Optimization Algorithm (WOA) and CSA, a critical comparison has been made in the study. The hybrid approach has improved the performance by 5 and 9% as compared to WOA and CSA, respectively. For the reservoir system, the Cv for 10 random runs was computed to be 0.0303 using the hybrid model, whereas for WOA and CSA, Cv was 0.22034 and 0.30698, respectively. Based on the performance measuring indices, results revealed that the hybrid model is more reliable and sustainable with the minimum error between release and demand. In addition, results reveal that the deficits have been reduced by 62% on average for the considered study period using the hybrid approach. Therefore, the results show that the proposed hybrid model has considerable potential to be used as an optimizer for complex reservoir operation problems.

Optimization of Cascade Reservoir Operation for Power Generation, Based on an Improved Lightning Search Algorithm

“…There are many kinds of biological-based meta-heuristic algorithms, which can be subdivided into plant-based (invasive weed algorithm [23]), animal-based (whale algorithm [24], gray wolf algorithm [25]), insect-based (ant colony algorithm [26], bee colony algorithm [27]), microbial-based (Slime Mould algorithm [28]), and so on. These algorithms have high performance and adaptability in solving high-dimensional complex problems, so they have received much concern [29].…”

“…These algorithms have high performance and adaptability in solving high-dimensional complex problems, so they have received much concern [29]. Mixing different algorithms could help overcome the shortcomings of a single algorithm and solve problems more efficiently [23]. The improved algorithms of these algorithms are hybrid whale optimization algorithm [30], hybrid algorithm of invasive weed optimization and cuckoo search algorithm [23], hybrid slime mold and arithmetic optimization algorithm [31], and so on.…”

“…Mixing different algorithms could help overcome the shortcomings of a single algorithm and solve problems more efficiently [23]. The improved algorithms of these algorithms are hybrid whale optimization algorithm [30], hybrid algorithm of invasive weed optimization and cuckoo search algorithm [23], hybrid slime mold and arithmetic optimization algorithm [31], and so on. These are widely used in reservoir optimal operation problems, including short-term [32,33], medium-and long-term optimal operation [34][35][36].…”