Foundation excavation co-evolution based on particle swarm optimization
基于粒子群算法协同优化基坑支护问题

As a multi-level optimization problem,foundation excavation optimization concerns many constraint conditions.With the analysis in hierarchy and relation of level design,a new collaborative optimization algorithm was proposed,which was distributed,hierarchical and of co-evolution.Collaborative optimization was integrated with particle swarm optimization to speed up the evolution and simply the optimization process.Collision and disposal in optimization of sub-systems,which belong to co-evolution optimization system,were analyzed.At last,an experiment of parallel collaborative design with "anchored piles in row and waterproof curtain" was given to show its effectiveness.