It is known that the Pareto-based approach is not well suited for optimization problems with a large number of objectives, even though it is a class of mainstream methods in multiobjective ...

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 ...

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 ...

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