Pages that link to "Item:Q632921"

The following pages link to Solving quadratic convex bilevel programming problems using a smoothing method (Q632921):

Displaying 16 items.

• A genetic algorithm using a finite search space for solving nonlinear/linear fractional bilevel programming problems (Q256666) (← links)
• A quadratic objective penalty function for bilevel programming (Q488923) (← links)
• A smoothing method for solving bilevel multiobjective programming problems (Q489158) (← links)
• Interactive approach to bi-level integer multi-objective fractional programming problem (Q907510) (← links)
• The backpropagation artificial neural network based on elite particle swam optimization algorithm for stochastic linear bilevel programming problem (Q1720445) (← links)
• Solving convex quadratic bilevel programming problems using an enumeration sequential quadratic programming algorithm (Q1959233) (← links)
• Successive convex relaxation approach to bilevel quadratic optimization problems (Q2760111) (← links)
• An interactive approach based on a discrete differential evolution algorithm for a class of integer bilevel programming problems (Q2822279) (← links)
• A cooperative coevolution PSO technique for complex bilevel programming problems and application to watershed water trading decision making problems (Q4631082) (← links)
• Quadratic Support Functions in Quadratic Bilevel Problems (Q4685742) (← links)
• An Objective Penalty Function Algorithm for Bilevel Programming Based on Multi-Parameters (Q4912749) (← links)
• On a Solving Bilevel D.C.-Convex Optimization Problems (Q4965111) (← links)
• Global Search for Bilevel Optimization with Quadratic Data (Q5014633) (← links)
• Bilevel Optimization: Theory, Algorithms, Applications and a Bibliography (Q5014642) (← links)
• A New Method To Solve Bi-Level Quadratic Linear Fractional Programming Problems (Q5251689) (← links)
• Smoothing SQP Methods for Solving Degenerate Nonsmooth Constrained Optimization Problems with Applications to Bilevel Programs (Q5501232) (← links)