An Enhanced Firefly Algorithm with a Partial Attraction Model
Firefly algorithm (FA) is a new and powerful algorithm for optimization. However, it has the disadvantages of
low convergence accuracy especially when solving complex problems. In this paper, an enhanced firefly algorithm is
proposed by adopting a partial attraction model and a fast attractiveness calculation strategy. The partial attraction model can
preserve swarm diversity and make full use of individual information. The fast attractiveness calculation strategy ensures the
information sharing among the individuals and improves the convergence accuracy. The experimental results demonstrate
the good performance of the proposed algorithm in terms of the solution accuracy.
Index Terms - Firefly Algorithm, Partial Attraction Model, Fast Attractiveness Calculation, Optimization