Memetic algorithms (MAs) are optimization techniques based on the orchestrated interplay
between global and local search components and have the exploitation of specific problem …

As a key problem in the social network, Influence Maximization (IM) has received extensive
study. Since it is a well-known NP-complete problem, it is a great challenge to determine the …

Energy consumption is a matter of paramount importance in nowadays environmentally
conscious society. It is also bound to be a crucial issue in light of the emergent …

Ephemeral computing is a term that describes computing systems whose nodes or their
connectivity have an ephemeral, heterogeneous and possibly also unpredictable nature …

In complex enterprises, various events such as failure of a server, malfunction of an
application etc. may happen. In many cases, these events are caused by a change or an …

Optimization algorithms deployed on unstable computational environments must be resilient
to the volatility of computing nodes. Different fault-tolerance mechanisms have been …

The Covid-19 pandemic has accelerated business use of digital technology with ephemeral
functionality. However, ephemerality as a concept is not well defined in the information …

In recent years, the energy-awareness has become one of the most interesting areas in our
environmentally conscious society. Algorithm designers have been part of this, particularly …

Ephemerality should be a significant concept for the information systems (IS) discipline but
has not been developed as such. On the one hand, ephemerality is considered a …

The research community has traditionally aimed at the derivation and development of
metaheuristic solvers, suited to deal with problems of very diverse characteristics …