Abstract
A new evolution method called queen-bee evolution is proposed for enhancing the optimisation capability of genetic algorithms. This queen-bee evolution is similar to nature in that the queen-bee plays a major role in reproduction process. Experimental results with typical problems show that queen-bee evolution makes genetic algorithms quickly approach the global optimum by enhancing exploitation and exploration of genetic algorithms.
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