A new characterization of (weak) Pareto optimality for differentiable vector optimization problems with \(G\)-invex functions
From MaRDI portal
Publication:646046
DOI10.1016/j.mcm.2011.01.034zbMath1225.90161OpenAlexW1969217009MaRDI QIDQ646046
Publication date: 11 November 2011
Published in: Mathematical and Computer Modelling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.mcm.2011.01.034
multiobjective programming\(\eta \)-approximated vector optimization problem(weak) Pareto optimal solutionvector \(G\)-invex function with respect to \(\eta \)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- New optimality conditions and duality results of \(G\) type in differentiable mathematical programming
- On \(G\)-invex multiobjective programming. II: Duality
- On \(G\)-invex multiobjective programming. I: Optimality
- Theory of multiobjective optimization
- Optimality conditions in multiobjective differentiable programming
- A note on invex functions and duality in multiple objective optimization
- On sufficiency of the Kuhn-Tucker conditions
- Maximal vectors and multi-objective optimization
- Pareto optimality in multiobjective problems
- Invex functions and generalized convexity in multiobjective programming
- Optimality criteria and duality in multiple-objective optimization involving generalized invexity
- A characterization of weakly efficient points
- Theorems of the alternative and optimality conditions
- Scalarizing vector optimization problems
- Complex minimax programming under generalized convexity
- Characterization of solutions of multiobjective optimization problem
- An \(\eta\)-approximation method in nonlinear vector optimization
- Scalarization in vector optimization
- On duality for weakly minimized vector valued optimization problems
- Invex functions and constrained local minima
- On generalised convex mathematical programming
- Necessary and Sufficient Conditions for a Pareto Optimum in Convex Programming
- Quasimin and quasisaddlepoint for vector optimization
- Approximate Jacobian Matrices for Nonsmooth Continuous Maps and C1-Optimization
- On lagrange-kuhn-tucker multipliers for pareto optimization problems
This page was built for publication: A new characterization of (weak) Pareto optimality for differentiable vector optimization problems with \(G\)-invex functions