Pages that link to "Item:Q412604"
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The following pages link to Multiple-gradient descent algorithm (MGDA) for multiobjective optimization (Q412604):
Displaying 39 items.
- Cooperation and competition in multidisciplinary optimization (Q694588) (← links)
- An adaptive multipoint formulation for robust parametric optimization (Q896195) (← links)
- Multiple reduced gradient method for multiobjective optimization problems (Q1625772) (← links)
- A multiobjective steepest descent method with applications to optimal well control (Q1640389) (← links)
- Meta-model-assisted MGDA for multi-objective functional optimization (Q1641565) (← links)
- A stochastic multiple gradient descent algorithm (Q1653361) (← links)
- Descent algorithm for nonsmooth stochastic multiobjective optimization (Q1687314) (← links)
- Gradient projection and local region search for multiobjective optimisation (Q1806922) (← links)
- Convergence analysis of sliding mode trajectories in multi-objective neural networks learning (Q1941589) (← links)
- Improving the mechanical performances of a multilayered plate with the orientations of its layers of fibers (Q2006474) (← links)
- INN: interfaced neural networks as an accessible meshless approach for solving interface PDE problems (Q2083675) (← links)
- Hypervolume scalarization for shape optimization to improve reliability and cost of ceramic components (Q2139167) (← links)
- An inexact multiple proximal bundle algorithm for nonsmooth nonconvex multiobjective optimization problems (Q2150773) (← links)
- Gradient based biobjective shape optimization to improve reliability and cost of ceramic components (Q2218896) (← links)
- Explicit gradient information in multiobjective optimization (Q2517803) (← links)
- Memory gradient method for multiobjective optimization (Q2700431) (← links)
- A gradient like algorithm for linearly constrained multi-objective optimization (Q2892428) (← links)
- Multiple subgradient descent bundle method for convex nonsmooth multiobjective optimization (Q4639123) (← links)
- Non-convex multiobjective optimization under uncertainty: a descent algorithm. Application to sandwich plate design and reliability (Q5059142) (← links)
- Efficient Multi-objective Reinforcement Learning via Multiple-gradient Descent with Iteratively Discovered Weight-Vector Sets (Q5145843) (← links)
- Parametric Optimization of Pulsating Jets in Unsteady Flow by Multiple-Gradient Descent Algorithm (MGDA) (Q5223288) (← links)
- Multiobjective Optimization Grover Adaptive Search (Q5234030) (← links)
- Multiple-gradient Descent Algorithm for Pareto-Front Identification (Q5259697) (← links)
- An incremental descent method for multi-objective optimization (Q5882236) (← links)
- Multi-agent off-policy actor-critic algorithm for distributed multi-task reinforcement learning (Q6092463) (← links)
- Convergence rates of the stochastic alternating algorithm for bi-objective optimization (Q6108978) (← links)
- A framework for controllable Pareto front learning with completed scalarization functions and its applications (Q6148441) (← links)
- Multi-objective model predictive control with gradient eigenvector algorithm (Q6150451) (← links)
- PINN training using biobjective optimization: the trade-off between data loss and residual loss (Q6162878) (← links)
- A deep learning method for multi-material diffusion problems based on physics-informed neural networks (Q6194159) (← links)
- FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks (Q6333096) (← links)
- MOEA/D with gradient-enhanced kriging for expensive multiobjective optimization (Q6535740) (← links)
- SCSQ: a sample cooperation optimization method with sample quality for recurrent neural networks (Q6554898) (← links)
- Gradient-based algorithms for multi-objective bi-level optimization (Q6564773) (← links)
- Multi-objective shape optimization of TESLA-like cavities: addressing stochastic Maxwell's eigenproblem constraints (Q6572160) (← links)
- Physics-specialized neural network with hard constraints for solving multi-material diffusion problems (Q6595894) (← links)
- An introduction to multiobjective simulation optimization (Q6600049) (← links)
- The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning (Q6601525) (← links)
- Bilevel optimization with a multi-objective lower-level problem: risk-neutral and risk-averse formulations (Q6641003) (← links)
