Preparation for Using Optimization Algorithms It is rare that a problem is submitted to an optimization algorithm "as is." By making a few changes in your problem, you can reduce its complexity, that ...

1 Department of Applied Mathematics, Adama Science and Technology University, Adama, Ethiopia; 2 Department of Applied Mathematics, Addis Ababa Science and Technology University, Addis Ababa, Ethiopia ...

Abstract: Although the updating equations of velocities for individuals in the mayfly optimization (MO) algorithm were not the same as that for individuals in the particle swarm optimization (PSO) ...

This repository accompanies the manuscript.. We present a novel methodology for optimization algorithm design, using ideas from electric RLC circuits and the performance estimation problem.Our ...

The convergence of expectation-maximization (EM)-based algorithms typically requires continuity of the likelihood function with respect to all the unknown parameters (optimization variables). The ...

Where v i, d t + 1 represents the flight speed of i th particle iterations t + 1; XID represents the position of i th particle with iterations t. wrepresents the inertia weight, which is taken here as ...