基于IABC-GA的管路协同机舱设备布局优化方法研究  

Research on optimization method of pipeline collaborative engine room equipment layout based on IABC-GA

作　　者：王文双 杨远松 刘海洋 杨明君 林焰[1] WANG Wenshuang;YANG Yuansong;LIU Haiyang;YANG Mingjun;LIN Yan(Ship CAD Engineering Center,Dalian University of Technology,Dalian 116024,China;CNNC Key Laboratory of Green Construction Technology and Equipment,Beijing 101300,China;China Nuclear Industry 23 Construction Co.,LTD,Beijing 101300,China)

机构地区：[1]大连理工大学船舶CAD工程中心,辽宁大连116024 [2]中核绿色建造技术与装备重点实验室,北京101300 [3]中国核工业二三建设有限公司,北京101300

出　　处：《大连理工大学学报》2025年第1期67-78,共12页Journal of Dalian University of Technology

基　　金：中核绿色建造技术与装备重点实验室开放基金资助项目(CNNC-STGCL-KFKT-2022-001).

摘　　要：为解决船舶机舱整体布局优化设计问题,提出一种基于改进人工蜂群遗传算法(IABC-GA)的管路协同设备布局优化设计方法以获得最佳设备布局方案和管路布局方案.在人工蜂群算法和遗传算法的基础上,提出一种既适应设备布局优化也适应管路路径寻优的改进算法,结合协同进化思想,将船舶机舱整体布局优化问题拆解为互相关联的设备布局问题和管路布局问题,两者在相互影响的情况下协同进化,最终得到最佳的船舶机舱布局设计方案.通过对实船机舱的仿真实验,验证了管路协同设备布局优化方法的可行性与可靠性.设备布局方面,与原始设备布局相比效果提升59.5%;船舶机舱整体布局方面,与先进行设备布局优化再进行管路布局优化相比效果提升11.8%.A layout optimization design method for pipeline collaborative equipment based on improved artificial bee colony genetic algorithm(IABC-GA)is proposed to address the overall layout optimization design problem of ship engine rooms,in order to obtain the best equipment layout scheme and pipeline layout scheme.On the basis of artificial bee colony algorithm and genetic algorithm,an improved algorithm is proposed which is suitable for both equipment layout optimization and pipeline path optimization.Combined with the concept of coevolution,the overall layout optimization problem of ship engine room is decomposed into interrelated equipment layout problems and pipeline layout problems.The two evolve synergistically under mutual influence,ultimately obtaining the best ship engine room layout design scheme.The feasibility and reliability of the pipeline collaborative equipment layout optimization method are verified through simulation experiments on the actual ship engine room.In terms of equipment layout,the effect is improved by 59.5%compared to the original equipment layout.And in terms of the overall ship engine room layout,the effect is improved by 11.8%compared to firstly optimizing the equipment layout and then optimizing the pipeline layout.

关 键 词：改进人工蜂群遗传算法(IABC-GA) 船舶机舱 设备布局优化 协同进化 

分 类 号：U664.3[交通运输工程—船舶及航道工程]