Abstract
Particle swarm optimization meets difficulties when handling deceptive problems, because the local optimal attractors misguide the particles and pull them away from the global optimum. Function transform that changes the shape to make it easier for the algorithm to optimize is an efficient way to change the original attraction, but the existing strategies cannot conquer deception. Therefore we propose the mirror transform by simply reversing the original attraction. Experimental results validate the efficiency of our strategy.
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