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A simple immune-based multi-objective optimizer (IBMO) is proposed, and a rigorous running time analysis of IBMO on three proposed bi-objective pseudo-Boolean functions (Bi-Trap, Bi-Plateau and Bi-Jump) is presented. The running time of a global simple evolutionary multi-objective optimizer (GSEMO) using standard bit mutation operator with IBMO using somatic contiguous hypermutation (CHM) operator is compared with these three functions. The results show that the immune-based hypermutation can significantly beat standard bit mutation on some well-known multi-objective pseudo-Boolean functions. The proofs allow us to understand the relationship between the characteristics of the problems and the features of the algorithms more deeply. These analysis results also give us a good inspiration to analyze and design a bio-inspired search heuristics. 相似文献
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在国家政策扶持和需求变化的影响下,我国跨境电商行业已经进入快速发展阶段,进出口总值一直居高不下,跨境电商逐渐形成完善的产业链,为我国的外贸竞争提供良好的动力。粤港澳大湾区在地理方面具有得天独厚的优势,加之政府给予的政策扶持和人力物力支持,不断推动着跨境电商物流迈上新的台阶。基于此,本文简要分析了粤港澳大湾区跨境电商物流发展的机遇,以跨境电商物流发展的现存问题为导向,提出具体的发展路径,以期为相关从业人员提供参考。 相似文献
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