” Advances in Bio-inspired Combinatorial Optimization Problems” illustrates several recent
bio-inspired efficient algorithms for solving NP-hard problems. Theoretical bio-inspired …

This paper presents a configurable distributed architecture for ant colony optimization. We
represent the problem environment as a distributed multi-agent system, and we reduce ant …

In order to solve combinatorial optimization problem are used mainly hybrid heuristics.
Inspired from nature, both genetic and ant colony algorithms could be used in a hybrid …

Nowadays, reliable medical diagnostics from computed tomography (CT) and X-rays can be
obtained by using a large number of image edge detection methods. One technique with a …

Some of the most complex problems, nowadays, are transportation problems. A capacitated
fixed-charge transportation problem is the problem we are trying to solve using hybrid …

Nowadays, demicontractive operators in terms of admissible perturbation are used to solve
difficult tasks. The current research uses several demicontractive operators in order to …

Meeting the security requests in transportation is nowadays a must. The intelligent transport
systems (ITSs) represent the support for addressing such a challenge, due to their ability to …

Modern supply chains security solutions need to also solve transport security. Greenhouse
gas (GHG) emissions have a direct influence on the structure and behaviour of supply …

Although neural networks and support vector machines (SVMs) are the traditional predictors
for the classification of complex problems, these opaque paradigms cannot explain the logic …

Multi-agent systems are currently applied to solve complex problems. From this class of
problem the security of networks is a very important and sensitive problem. We propose in …