Multi-objective scheduling of college living water based on improved salp swarm algorithm

In order to achieve the water comfort of university users and the timeliness of water supply scheduling, aiming at the low efficiency and complexity of water supply in the multi-source water supply scheduling system of university domestic water, this paper proposes a solution to construct the scheduling model and optimize the solution. Firstly, considering the social and economic objectives, a water supply scheduling model with the goal of minimizing water shortage rate and water purification compensation is constructed. Then, an optimized solution algorithm based on the Improved Salp Swarm Algorithm (ISSA) model is proposed. Taking the living water optimization scheduling of X college students as the background, this paper conducts modeling and compares Salp Swarm Algorithm (SSA) and Particle Swarm Optimization (PSO). The case study shows that ISSA is 47.4% and 92.3% lower than SSA and PSO planning results in terms of total water compensation, respectively, and has stronger solving ability, which provides a new idea for solving the optimization of living water scheduling in universities.