利用层次性协同演化方法优化深基坑支护问题(英文)

介绍了应用于深基坑支护复杂系统设计的协同优化算法。针对深基坑支护问题的层次性和不同层次设计间的相互影响,将现有的协作优化算法和协同演化算法结合起来,构建了一种新的协同优化算法:协同演化优化算法。分析了协同演化优化系统中子系统优化间存在的冲突和处理方法。最后以锚固式排桩支护和截水帐幕的并行协同设计,验证了算法的有效性。

Hierarchical Co-Evolution for Optimization of Foundation Excavation

As a two -level optimization problem,foundation excavation optimization concerns with many constraint conditions.With the analysis in hierarchy and relation of level design,a new collaborative optimization algorithm, Distributed Hierarchical Co-evolution Collaborative Optimization(DHCCO) algorithm,has been advanced.DHCCO algorithm integrates collaborative optimization with genetic algorithms for global optimization and regional optimization, divides the engineering optimization task to scheme space and detail space which evolves independently but interrelatedly, decreases the search time.Collision and disposal in optimization of sub-systems,which belong to co-evolution optimization system, has been analyzed.At last,an experiment of parallel collaborative design with "anchored piles in row and waterproof curtain" was also presented to show its effectiveness.