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 ...

The pigeon inspired optimization (PIO) is a metaheuristic algorithm which finds an optimal solution in the complex search spaces using homing behavior of pigeons. PIO algorithm has been applied to ...

According to the convergence characteristics of the distributed convex optimization algorithm, it can be divided into asymptotic convergence [10] and exponential convergence [13]. Event-driven ...

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) ...

Learn how to evaluate different structural optimization methods and tools using criteria such as convergence rate, computational time, feasibility, and optimality.

In this section, we report the experimental evaluations of SPDAM and compare it with existing state-of-the-art learning algorithms for AUC optimization and convergence rate. 5.1. Comparison Algorithms ...