Improved Sparrow Search Algorithm Based on Multi Strategy Fusion

The Integrated Strategy Sparrow Search Algorithm (ISSA) has been developed as an advanced optimization algorithm to enhance solution accuracy, stability, and to address local optima issues associated with the conventional Sparrow Search Algorithm (SSA). The ISSA algorithm incorporates various strategies, including a chaotic lens strategy, the Golden Sinusoidal Algorithm (GSA), and an adaptive control parameter $\eta$ based on gamma distribution, to augment population diversity, search coverage, exploration, and development capabilities. The performance of the ISSA algorithm has been evaluated using 12 benchmark functions, which demonstrate that the ISSA algorithm outperforms the basic SSA algorithm, other improved algorithms, as well as other swarm intelligence optimization algorithms.