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What is Cat Swarm Optimization Algorithm about?

The document describes a binary cat swarm optimization algorithm for solving optimization problems. The algorithm initializes a population of candidate solutions represented as binary strings. It then iterates for a maximum number of iterations, tracking the best solution found. In each iteration, some candidates are perturbed based on the best solution found so far, while others are randomly perturbed. Candidates are then evaluated and the best overall solution is tracked across iterations. The algorithm r

Author

Randhani Agus

Language

EN