Abstract Grey Wolf Optimizer (GWO) and Particle Swarm Optimization (PSO) algorithm are
two popular swarm intelligence optimization algorithms and these two algorithms have their …

This paper presents enhanced fitness-adaptive differential evolution algorithm with novel
mutation (EFADE) for solving global numerical optimization problems over continuous …

This paper presents insight into an adaptation and self-adaptation mechanism within
differential evolution, covering not only how but moreover–when this mechanism generates …

Differential evolution (DE) is a simple and powerful population-based evolutionary
algorithm. The salient feature of DE lies in its mutation mechanism. Generally, the parents in …

A general approach based on the most probable point (MPP) method for solving reliability
truss optimisation with simultaneous topology, shape and sizing (TSS) design variables is …

The flower pollination algorithm (FPA) is a relatively new swarm optimization algorithm that
inspired by the pollination phenomenon of natural phanerogam. Since its proposed, it has …

Performing the design of a truss including topological, shape and sizing (TSS) variables
simultaneously is a challenging but important task for a designer. It is even more interesting …

Image reconstruction is a mathematical process, where the image is compressed into a
small representation and derived from this form. The general use of the reconstruction …

Constrained optimization plays an important role in many decision‐making problems and
various real‐world applications. In the last two decades, various evolutionary algorithms …

In the last two decades, evolutionary computing has become the mainstream to attract the
attention of the experts in both academiaandindustrialapplicationsduetoth …