Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...

Abstract: Network deployment optimization is a very complex problem with many non-deterministic polynomial (NP)-hard solutions due to the limited communication distance and initial energy of ...

In this paper a new hybrid glowworm swarm algorithm (SAGSO) for solving structural optimization problems is presented. The structure proposed to be optimized here is a simply-supported concrete I-beam ...

300+ open source evolutionary algorithms 600+ open source benchmark problems Powerful GUI for performing experiments in parallel Generating results in the format of Excel or LaTeX table by one-click ...

Abstract: The design and establishment of an English translation system through the use of a particle swarm optimization (PSO) and artificial intelligence (AI) model, addresses the element of low ...

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research. This article ...

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.

In view of the characteristics of high mobility of FANETs nodes, combined with the features of Topology-based class routing protocol on-demand search, a Genetic-algorithm-based routing (GAR) protocol ...