Virtual machine placement (VMP) and energy efficiency are significant topics in cloud
computing research. In this paper, evolutionary computing is applied to VMP to minimize the …

Niching techniques have been widely incorporated into evolutionary algorithms (EAs) for
solving multimodal optimization problems (MMOPs). However, most of the existing niching …

Protein structure prediction (PSP) is a grand challenge in bioinformatics, drug discovery, and
related fields. PSP is computationally challenging because of an astronomically large …

In biochemistry, the protein structure prediction from the primary sequence is a significant
issue. Few research works are intended for performing protein structure prediction with …

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

The paper gives an applicable model called colored balanced traveling salesman problem
(CBTSP), it is utilized to model optimization problems with partially overlapped workspace …

The superconducting electrodynamic suspension system has many advantages such as no
active control, large clearance, and small weight, but its insufficient vertical dam** is a …

As we know, the performance of differential evolution (DE) highly depends on the mutation
strategy. However, it is difficult to choose a suitable mutation strategy for a specific problem …

Evolutionary algorithms are widely used to solve multimodal optimization problems. The two
main challenges faced while solving MMOPs are locating multiple optimal solutions and …

In wireless sensor networks (WSN), we often detect the monitoring areas among different
sensors so that the sensors can be switched on and off adaptively to save energy and …