Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.
Meisam RazaviyaynTianjian HuangSongtao LuMaher NouiehedMaziar SanjabiMingyi HongPublished in: IEEE Signal Process. Mag. (2020)
Keyphrases
- min max
- max min
- multiobjective optimization
- optimization problems
- global optimization
- early days
- nonlinear programming
- lessons learned
- recent developments
- artificial intelligence
- promising directions
- theoretical issues
- convex optimization
- optimization methods
- optimization algorithm
- optimization process
- real world
- current challenges
- discrete optimization
- open issues
- recent advances
- theoretical analysis
- optimization model
- key issues
- optimization strategies
- particle swarm optimization
- objective function