Moving Past “It Works” — Intelligent Optimization Is the Key to PCB Excellence Adaptive optimization algorithms promise better results and deeper insight into why certain designs perform better than ...

Finally, the optimal space trajectories transference between coplanar circular orbits for different times of flight was calculated, using the proposed algorithm. Keywords: Optimization of trajectories ...

We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the scheduling decision is ...

The resulting Mixed-Integer Nonlinear Programming (MINLP) problem is solved using a custom Discrete-Steepest Descent Algorithm (D-SDA), which is designed to efficiently explore the ordered discrete ...

Unlike the metaphorical mountaineer, optimization researchers can program their gradient descent algorithms to take steps of any size. Giant leaps are tempting but also risky, as they could overshoot ...

Different optimization approaches are explored to solve unconstrained minimization problems numerically in this paper. A classic optimization problem i.e., the Rosenbrock function is considered a ...

Implementation of Unconstrained Optimization Algorithms: Dog Leg, Cauchy, Trust Region, Steepest Decent, Newton and Conjugate Gradient methods.