Problem decomposition is an important part of many state-of-the-art Evolutionary Algorithms
(EAs). The quality of the decomposition may be decisive for the EA effectiveness and …

Evolutionary methods are effective tools for obtaining high-quality results when solving hard
practical problems. Linkage learning may increase their effectiveness. One of the state-of …

Increasingly more internet-applications require the supports of multiple multicasts, while
existing multicast routing algorithms only aim to establish a single multicast routing tree …

Multicast communication technology is widely applied in wireless environments with a high
device density. Traditional wireless network architectures have difficulty flexibly obtaining …

In this paper, we consider an NP-hard, real-world optimization problem from the field of
computer networks. The problem refers to the network survivability and may be considered …

Limiting the number of required settings is an important part of any evolutionary method
development. The final objective of this process is a method version that is parameter-less …

The maintenance of many subpopulations is an important technique employed in
evolutionary methods. However, the use of a multi-population approach has its drawbacks …

A thorough analysis of the features of real-world optimization problems is advantageous for
many reasons. It helps in choosing an appropriate optimizer to solve the problem at hand. It …

In a number of networking problems, one needs to find multiple paths between a source-
destination node pair or multiple trees spanning all (or some of) the nodes of the network …