Abstract: Many-objective optimization problems are challenging and time-consuming, especially when the number of objectives is large. In this paper, an evolutionary algorithm inspired by quantum ...
InterpolatePy provides 20+ algorithms for smooth trajectory generation with precise control over position, velocity, acceleration, and jerk. From cubic splines and B-curves to quaternion interpolation ...
Abstract: Optimization algorithm based on Pareto dominant strategy has been widely used in solving multi-objective optimization problems. However, the inappropriate search scope and dominance ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results