ミツバチコロニー最適化手法を用いた重力ダム基本断面設計法

Abstract

This research shows the useful performance in designing a basic triangle of gravity dam using the artificial swarm intelligence (ASI) approach of the bee colony opti-mization (BCO) scheme. The obstacle to design a basic triangle is to optimize the parameters to be decided subject to the minimized triangle area because the shape of the fillet makes the vertical forces of the static water and sediment pressures with bilinear processes in cases that a sediment height gets greater than a fillet one. In this paper, two steps of theoretical and numerical schemes are conducted. The first step is to theoretically employ the 0-extension approach to lump two-cased equations together. The second one is to use the BCO approach to optimize the dam parameters in bilinear processes. It can be concluded that the proposed approach is much useful in optimally designing the parameters of gravity dam with a fillet compared with the particle swarm optimization (PSO) scheme.