In recent years, the research community has witnessed an explosion of literature dealing
with the mimicking of behavioral patterns and social phenomena observed in nature towards …

The binarization of Swarm intelligence continuous metaheuristics is an area of great interest
in operations research. This interest is mainly due to the application of binarized …

In recent years, the trend of embedding chaos in the optimization algorithms has grown
multifold. Usually, the chaotic algorithms employ chaotic sequences instead of random …

Each type of problems, such as unimodal/multimodal, linear/non-linear, convex/non-convex,
and symmetrical/asymmetrical, has its own characteristics. Although various differential …

This paper develops five new discrete Symbiotic Organisms Search (SOS) algorithms for
simultaneous optimization of feature subset and neighborhood size of k-nearest neighbor …

Protein structure prediction (PSP) plays an important role in the field of computational
molecular biology. Although powerful optimization algorithms have been proven effective to …

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 …

Protein structure prediction is one of the important aspects while dealing with critical
diseases. An early prediction of protein folding helps in clinical diagnosis. In recent years …

Fitness landscape analysis has been effectively used to analyze the characteristics of
combinatorial optimization problems (COPs) while investigating the behavior of applied …

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