关键词: 蜻蜓算法, 函数优化, 贪婪策略, 平衡策略, 组合策略

Abstract: A new dragonfly algorithm based on enhancing the exchange of individuals’ information（EIDA） is proposed. In view of the shortcomings of dragonfly algorithm, EIDA uses three strategies：a greedy strategy, an equilibrium strategy and a combined strategy. Greedy strategy aims at fully using the best individuals’ information between the parent and child generation, in order to speed up the convergence. Equilibrium strategy is used for balancing exploration and exploitation, and stabilizing the algorithm. Combined strategy is also applied, with the purpose of enhancing exploitation and improve the precision of solution. Experimental results on eight representative complicated functions indicate that EIDA has powerful exploration, fast convergence and high precision.

Key words: dragonfly algorithm, function optimization, greedy strategy, equilibrium strategy, combined strategy