我很高兴与你们分享我最近在这页上的工作。是的，你的猜测是正确的，这是一种新的算法，但是这次我已经开发了三种算法来解决三种不同类型的优化问题。

蜻蜓算法(DA)算法的主要灵感来源于静态和动态的变暖行为。这两种变暖行为非常类似于使用元启发式进行优化的两个主要阶段:勘探和开发。蜻蜓能在静止的蜂群中产生亚群，并飞过不同的区域，这是探索阶段的主要目标。然而，在静止的蜂群中，蜻蜓在更大的群中飞行，沿着一个方向飞行，这在开发阶段是有利的。-I am pleased to share my recent work here in this page with you. Yes, your guess is correct, it is again a new algorithm, but this time I have developed three algorithms for solving three different types of optimization problems.　



The main inspiration of the Dragonfly Algorithm (DA) algorithm originates　static and dynamic swarming behaviours. These two swarming behaviours are very similar to the two main phases of optimization using meta-heuristics: exploration and exploitation. Dragonflies create sub swarms and fly over different areas in a static swarm, which is the main objective of the exploration phase. In the static swarm, however, dragonflies fly in bigger swarms and along one direction, which is favourable in the exploitation phase.