Toward efforts to improve sustainability of energy supply and to achieve worthwhile
reduction in greenhouse gas emissions, in addition to the increased use of renewable …

“Big data” is an emerging topic and has attracted the attention of many researchers and
practitioners in industrial systems engineering and cybernetics. Big data analytics would …

The economy of scale provided by cloud attracts a growing number of organizations and
industrial companies to deploy their applications in cloud data centers (CDCs) and to …

The growing ubiquity of vehicles has led to increased concerns about environmental issues.
These concerns can be mitigated by implementing an effective carpool service. In an …

In the big data era, systems reliability is critical to effective systems risk management. In this
paper, a novel multiobjective approach, with hybridization of a known algorithm called …

This paper presents a novel optimization algorithm based on competitive behavior of various
creatures such as birds, cats, bees and ants to survive in nature. In the proposed method, a …

The average convergence rate (ACR) measures how fast the approximation error of an
evolutionary algorithm converges to zero per generation. It is defined as the geometric …

The theory of evolutionary algorithms on continuous space gravitates around the evolution
strategy with one individual, adaptive mutation, and elitist selection, optimizing the …

For large space dimensions, the log-linear convergence of the elitist evolution strategy with
a 1/5 success rule on the sphere fitness function has been observed, experimentally, from …

Evolutionary Algorithms, also known as Genetic Algorithms in a former terminology, are
probabilistic algorithms for optimization, which mimic operators from natural selection and …