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A filled function method for finding a global minimizer on global integer optimization
ISSN号:0377-0427
期刊名称:Journal of Computational and Applied Mathematics
时间:0
页码:200-210
语言:英文
相关项目:求全局最优解的函数变换方法
作者:
Shang, YL|Zhang, LS|
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求全局最优解的函数变换方法
期刊论文 34
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A revised conjugate gradient projection algorithm for inequality constrained optimizations
Quadratic smoothing approximation to l(1) exact penalty function in global optimization
A level-value estimation method for solving global optimization
A novel filled function method and quasi-filled function method for global optimization
A new filled function method for integer programming
A class of augmented Lagrangians for equality constraints in nonlinear programming problems
Discrete filled function method for discrete global optimization
New modified function method for global optimization
A new two-level linear relaxed bound method for geometric programming problems
Semi-definite relaxation algorithm for single machine scheduling with controllable processing times
Exact augmented Lagrangian function for nonlinear programming problems with inequality constraints
Monotonization in global optimization
Convexification and concavification for a general class of global optimization problems
Newton method for solving a class of smooth convex programming
Unification of filled function and tunnelling function in global optimization
A filled function method with one parameter for box constrained global optimization
A filled function method for global optimization
Discrete global descent method for discrete global optimization and nonlinear integer programming
A new tunnel function method for global optimization
Finding discrete global minima with a filled function for integer programming
Peeling off a nonconvex cover of an actual convex problem: Hidden convexity
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Surrogate dual method for multi-dimensional nonlinear knapsack problems