Solving Nonsmooth Bi-Objective Environmental andEconomic Dispatch Problem using Smoothing Techniques

zbMath1480.91162arXiv2002.04179MaRDI QIDQ5021888

A. Lahmdani, Mohamed Tifroute, Hassane Bouzahir

Publication date: 14 January 2022

Full work available at URL: https://arxiv.org/abs/2002.04179

zbMATH Keywords

locally Lipschitz functionsmoothing functionsapproximate Karush-Kuhn-Tuckereconomic and environmental dispatching problemnonsmooth multi-objective optimization

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Nonlinear programming (90C30) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

Uses Software

• ALGENCAN

Cites Work

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• Smoothing methods for nonsmooth, nonconvex minimization
• Approximate Karush-Kuhn-Tucker condition in multiobjective optimization
• Nonsmooth approach to optimization problems with equilibrium constraints. Theory, applications and numerical results
• Nonconvex optimization in mechanics. Algorithms, heuristics and engineering applications by the F. E. M
• Nonlinear multiobjective optimization
• Interior-point \(\ell_2\)-penalty methods for nonlinear programming with strong global convergence properties
• Optimization and nonsmooth analysis
• Variational Analysis
• On the Constant Positive Linear Dependence Condition and Its Application to SQP Methods
• Practical Augmented Lagrangian Methods for Constrained Optimization

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