Reservoirs store and regulate natural water resources, playing a vital role in water supply, power generation, flood control, and shipping (Biemans et al., 2011;Chen et al., 2019;Kibler & Tullos, 2013). Consequently, the construction and operation of reservoirs affect the ecosystem, mainly manifesting as changes in hydrological conditions downstream. In most cases, the human-controlled discharge process is more stable, altering the flow regime formed by long-term natural evolution that is required by downstream aquatic ecosystems, thus endangering them (Jiang et al., 2019).Fish have a high trophic level in aquatic ecosystems, and their population size and species richness reflect the changes in the aquatic ecosystems (Mišetić et al., 2003;Wu et al., 2014;Zhao et al., 2015). In some systems, fish spawning coincides with the onset of flooding, and they gather at the spawning grounds to lay eggs when the flood increases and leave after it finishes (Tao et al., 2017). The key ecological requirements for the hydro-environment in the upper reach of the Yellow River in China during the spawning season include the flow regime, as the development of the fish gonads requires stimulation of the flow rising process; the water depth, as the hatching of benthic eggs requires a gentle water flow with little amplitude variation; and water temperature, with the appropriate temperature for fish spawning and egg incubation being approximately 14°C-15°C (Li et al., 2020). Table 2 in Bejarano et al. ( 2017) describes the changes in the environmental and biological responses caused by short-term flow regime changes, including the destruction of the habitats of fish and other species, impact of migration activities, and reduction of species diversity. With increased attention paid to the ecological environment, improving the current reservoir operation schemes and restoring the river's ecological flow processes, especially during critical physiological processes, such as fish spawning and migration, have become key objectives in reservoir operations.The objectives of reservoir operation are often incommensurable or even conflicting. Multiobjective optimization models, which simultaneously consider different objectives of reservoirs, such as power generation and ecological protection, are required to address these problems (Bai et al., 2019;W. He et al., 2020). Multiobjective optimization models are solved to determine the quantitative relationship among objectives and formulate a scheme balancing them (Tang et al., 2019).The existing multiobjective optimization models of reservoir operations, which consider resource exploitation and ecology, mostly use the weighting of each objective to reduce dimensionality or obtain a set of Pareto optimal