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Many engineering design optimization problems can be represented as mixed-variable optimization problems. This study presents a heuristic approach for solving mixed-variable optimization using ...
This paper presents a torque optimization method of a novel reaction sphere actuator for spacecraft attitude control. The proposed reaction sphere is based on a spherical induction motor, which is ...
For now, we only shrink the sphere radius. There is also an optimized version of the algorithm, in terms of RAM processing, under SIM_Opt. There are two version of the algorithm - one with projection, ...
This code implements a basic Particle Swarm Optimization (PSO) algorithm to optimize the Sphere function. It defines a Particle class to represent particles in the PSO algorithm. Particles are ...
This work concentrates on optimization on Riemannian manifolds. The Limited-memory Broyden–Fletcher–Goldfarb–Shanno (LBFGS) algorithm is a commonly used quasi-Newton method for numerical optimization ...
In the Main() method, the Solver object is instantiated for a population of eight solutions, each of which is a vector with six values. The population size value is a hyperparameter that must be ...
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