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- W2392571196 abstract "Particle swarm optimization(PSO) algorithm is a stochastic global optimization technique and has become the hotspot of evolutionary computation for its excellent performance and simplicity of implementation. In order to overcome the disadvantages of premature convergence and local optimum,this paper presents a modified adaptive PSO that can accelerate the convergence and reduce the possibility of premature convergence by use of adjusting dynamically the inertia weight of particle. This paper analyzes the advantage and disadvantage of the linear programing method for earthwork allocation,and puts forward a new earthwork allocation method based on the modified PSO algorithm. Compared with the linear programming method commonly used,the new method can take into account the nonlinearity of constraints and object function, which is close to the conditions of a real project. Calculation results of two methods for the earthwork allocation of a concrete faced rock-fill dam are compared,which demonstrates the application and efficiency of the proposed new method." @default.
- W2392571196 created "2016-06-24" @default.
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- W2392571196 date "2010-01-01" @default.
- W2392571196 modified "2023-09-24" @default.
- W2392571196 title "Study on earthwork allocation method based on modified particle swarm optimization" @default.
- W2392571196 hasPublicationYear "2010" @default.
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