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| A Many-objective Evolutionary Algorithm Based on Knee Point and Region Division |
| YANG Jing-ming,HAO Jia-jia,SUN Hao,WEI Zhi-hui,LI Xia-xia |
| School of Electrical Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China |
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Abstract A many-objective evolutionary algorithm KnSP is proposed based on knee point and region division to solve the problem that is difficult to maintain convergence and distribution. The algorithm selects the knee points as the center point of the first region division and adaptively generates a corresponding neighborhood.Then the angle is used to divide the second area, and the distance of the point to the hyperplane is used as the criterion for individual selection.Finally, from the perspective of the candidate solutions and the other individuals, individuals are added or deleted to ensure the population size.Experimental result shows that the algorithm performs better in some test functions than compared algorithms.
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Received: 04 December 2019
Published: 20 August 2021
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2021, Vol. 42 
