Protein structure prediction (PSP) remains a central challenge in computational biology due
to its inherent complexity and high dimensionality. While numerous heuristic approaches …

The efficient design of structures that exhibit desired properties is challenging across various
engineering and scientific applications. Traditional methods employ experts in a specific …

Metaheuristic algorithms are employed to solve complex and large‐scale optimization
problems in many different fields, from transportation and smart cities to finance. This paper …

The protein structure prediction (PSP) problem, ie, predicting the three-dimensional structure
of a protein from its sequence, remains challenging in computational biology. The …

This paper proposed an improved simulated annealing (ISA) algorithm for protein structure
optimization based on a three-dimensional AB off-lattice model. In the algorithm, we …

This paper presents a novel Differential Evolution algorithm for protein folding optimization
that is applied to a three-dimensional AB off-lattice model. The proposed algorithm includes …

This article proposes an improved artificial bee colony algorithm (IABC) for maintaining a
balance between the exploratory and exploitative abilities of the algorithm. Therefore …

Abstract The Protein Structure Prediction (PSP) problem is one of the most significant open
problems in bioinformatics. In the AB off-lattice model, the protein sequence is labeled as …

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 …

It is a known fact that protein structure prediction is a challenging problem of computational
biology. In the past, several attempts of application of metaheuristic approaches have been …