Abstract Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the pheromone
trail laying and following behavior of some ant species. Artificial ants in ACO are stochastic …

Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …

Ant colony optimization (ACO) is a meta-heuristic that is inspired by real ants that are
capable of exploring shortest paths, which inspires researchers to apply it for solving …

Swarm intelligence is a relatively novel field. It addresses the study of the collective
behaviors of systems made by many components that coordinate using decentralized …

In this paper, we describe AntHocNet, an algorithm for routing in mobile ad hoc networks. It
is a hybrid algorithm, which combines reactive path setup with proactive path probing …

Wireless Sensor Networks (WSNs) are a type of self-organizing networks with limited energy
supply and communication ability. One of the most crucial issues in WSNs is to use an …

Recent developments in information technology have brought about important changes in
distributed computing. New environments such as massively large-scale, wide-area …

(57) ABSTRACT A named-data networking (NDN) node, comprising a plural ity of faces
each of which is coupled to a different node in a content-centric network, and a processor …

This paper makes an exhaustive survey of various applications of Quantum inspired
computational intelligence (QCI) techniques proposed till date. Definition, categorization and …

In the past few years, there has been much research on the application of swarm
intelligence to the problem of adaptive routing in telecommunications networks. A large …