Abstract: This paper proposes a (μ + λ)-differential evolution and an improved adaptive trade-off model for solving constrained optimization problems. The proposed (μ + λ)-differential evolution ...

According to the sufficient and necessary conditions mentioned previously, constructing the feasible region optimization model after cutting security constraint condition A {j} (P G 1 t, P G 2 t, ⋯ P ...

The Lagrange multipliers theorem states that if f(θ 0) is a minimum of f(θ) for the original constrained problem and ∇c(θ 0) ≠ 0, then there exists a λ 0 such that ∇ L (θ 0, λ 0) = 0, i.e., (θ 0, λ 0) ...

This is a linear regression model that allows to enforce linear constraints and bounds on the weights. Given Theta1 & Theta2 weight, a linear constraint can be defined as Theta1>p1*Theta2 where p1 is ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

Safe Continuous Control with Constrained Model-Based Policy Optimization Abstract: The applicability of reinforcement learning (RL) algorithms in real-world domains often requires adherence to safety ...