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A NEW SQP-FILTER METHOD FORSOLVING NONLINEAR PROGRAMMING PROBLEMS
Nonlinear programming Sequential quadratic programming Filter Restoration phase Maratos affects Global convergence Multi-objective optimization Quadratic programming subproblem
2007/12/12
In $\cite{Fletcher2002}$, Fletcher and Leyffer
present a new method that solves nonlinear programming problems without a
penalty function by SQP-Filter algorithm. It has attracted much attention
...
An Adaptive Neural Network Model for Nonlinear Programming Problems
adaptive neural network canonical neural network
2007/12/11
In this paper a canonicalneural network with adaptively changing synaptic weights and activation function parameters is presented to solve general nonlinear programming problems. The basic part of the...
A SUPERLINEAR CONVERGENT FEASIBLE METHOD FOR NONLINEAR PROGRAMMING WITH NONLINEAR CONSTRAINTS
Constrained optimization successive qua
2007/8/7
A new feasible algorithm is proposed for the minimization of a continuously differentiable function subject to inequality constraints. This algorithm only needs to solve one quadratic programming subp...