Fish Swarm Algorithm: A Novel Intelligent Bionic Optimization Algorithm

The Fish Swarm Algorithm represents an innovative intelligent bionic algorithm that simulates collective behavior and swarm intelligence observed in fish populations. Through modeling the communication and cooperation mechanisms within fish schools, this algorithm effectively solves various practical optimization problems. Its applications span multiple domains including optimization challenges, image processing, and machine learning tasks. The algorithm's implementation typically involves key components such as fish behavior modeling (including swarming, following, and foraging behaviors), visual distance parameters, crowding factor controls, and iterative optimization processes. While numerous implementation variants exist for fish swarm algorithms, the program presented here constitutes the most comprehensive and efficient version currently available, incorporating advanced optimization strategies and parameter tuning mechanisms. We anticipate this implementation will significantly facilitate your research and application development.