Objective Space Distortion Dominance

摘要：

　　A large number of objectives leads for most problems to a significant drop in selection pressure.As a consequence,all algorithms,in this setup,tend to approach the behaviour one would expect to see when using a completely random sampling.A main cause of this problem is that any two random solutions become increasingly likely not to be comparable from a Pareto dominance point of view.As a step forward towards addressing this problem,we present a set of coordinates transforms which can be used to control dominance.The same formalism can be used from within an adaptive or dynamic algorithm,with the strength and bias of each transform being varied during the sampling process.

关键词： many-objectives evolutionary coordinates transform

作者: Alexandru-Adrian Tantar

作者单位: Interdisciplinary Centre for Security Reliability and Trust(SnT)University of Luxembourg 6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg Luxembourg

会议类型: 国际会议

会议名称: Evolve International Conference-2014(2014年演变算法国际会议)

会议地点: 北京

会议语种:英文

页码: 1-5

在线出版日期: 2014-07-01（万方平台首次上网日期，不代表论文的发表时间）