Abstract The Bees Algorithm is a parameter optimisation method that mimics the foraging
behaviour of honey bees. This paper presents an experimental study of the performance of …

Protein folding is a fundamental topic in molecular biology. Conventional experimental
techniques for protein structure identification or protein folding recognition require strict …

Protein structure prediction (PSP) from its primary sequence is a challenging task in
computational biology. PSP is an optimization problem that determines the stable or native …

This work aims to improve the performance of the Bees Algorithm (BA), particularly in terms
of simplicity, accuracy, and convergence. Three improvements were made in this study as a …

In this article, two hybrid schemes using the Bees Algorithm (BA) and the Firefly Algorithm
(FA) are presented for numerical complex problem resolution. The BA is a recent population …

Abstract The Bees Algorithm (BA) is a recent and powerful foraging algorithm which imitates
the natural behaviour of bees. However, it suffers from certain limitations, essentially in the …

In this article, a novel Permutation-based Bees Algorithm (PBA) is proposed for the resource-
constrained project scheduling problem (RCPSP) which is widely applied in advanced …

Abstract The Bees Algorithm (BA) is a recent population-based optimization algorithm, which
tries to imitate the natural behavior of honey bees in food foraging. This meta-heuristic is …

Hybridization is an integrated framework that combines the merits of algorithms to improve
the performance of an optimizer. In this chapter, the synergism of the improved version of …

Visual shape matching is a critical topic in pattern recognition applications. Atomic potential
matching (APM) model is a relatively new shape matching methodology inspired by …