首页> 外文会议>Computational Intelligence and Security, 2009. CIS '09 >The Harmony Search Algorithm in Combination with Particle Swarm Optimization and its Application in the Slope Stability Analysis
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The Harmony Search Algorithm in Combination with Particle Swarm Optimization and its Application in the Slope Stability Analysis

机译:结合粒子群算法的和谐搜索算法及其在边坡稳定性分析中的应用

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A mixed search procedure is developed in this paper based on particle swarm optimization and harmony search algorithm, in which an initial solution is first obtained by harmony search algorithm and it is contained in the group of particles and is used in the implementation of particle swarm optimization, This mixed search procedure is applied in the determination of minimum factor of safeties of soil slopes. the results provided by harmony search algorithm, particle swarm optimization and this mixed procedure are compared and the efficiency of this mixed procedure is demonstrated.
机译:本文基于粒子群优化和和声搜索算法,开发了一种混合搜索程序,该算法首先通过和声搜索算法获得初始解,并将其包含在粒子群中,用于实现粒子群优化。 ,这种混合搜索程序用于确定土质边坡的最小安全系数。比较了和谐搜索算法,粒子群算法和该混合过程的结果,证明了该混合过程的有效性。

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