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- W2354068406 abstract "This paper studies the nonlinear bi-level programming with the lower for linear programming and the upper for quadratic programming. The optimal simplex equivalent conditions and estimation of distribution algorithms( EDA) based on Gaussian distribution are employed to obtain the global optimal solution to the problem. The algorithm is combined with the optimal individual of the population for higher efficiency,and an effective crossover operator is given. In designing an algorithm,uniform design is used to generate the initial population,which can increase the diversity of the population. To overcome the weak local convergence of evolutionary algorithm,this paper proposes a new approach to increasing the local convergence of the algorithm. Numerical test results show that the proposed algorithm is effective and fast." @default.
- W2354068406 created "2016-06-24" @default.
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- W2354068406 date "2014-01-01" @default.
- W2354068406 modified "2023-09-28" @default.
- W2354068406 title "EDA Algorithm for Solving a Class of Special Nonlinear Bi-level Programming Problems" @default.
- W2354068406 hasPublicationYear "2014" @default.
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