We present in this paper a new bio-inspired algorithm that dynamically creates and visualizes groups of data. This algorithm uses the concepts of flying insects that move together in complex manner with simple local rules. Each insect represents one datum. The insect moves aim at creating homogeneous groups of data that evolve together in a 2D environment in order to help the domain expert to u...

In this paper, a centralized algorithm on the basis of ant colony optimization (ACO), a well-known bio-inspired model is suggested as a channel assignment scheme. The suggested method is applied for a cluster-based MANET and aims at minimizing the number of used channels while satisfying the co-channel interference constraints. The suggested algorithm is examined for two scenarios and the obtai...

Cloud computing provides internet-based services to access completely different reasonably service or resources, eliminating the requirement for centralized knowledge access. There are many challenges obtainable in cloud computing, wherever specific problems like resource provisioning, load imbalance and performance improvement are often solved exploitation bio-inspired algorithms. Bio-inspired...

The foraging task is one of the canonical testbeds for cooperative robotics, in which a collection of robots have to find and transport one or more objects to specific storagepoints. Efficiency in foraging can be improved with coordinated team of robots. Swarm robotics investigates the bio-inspired behaviors of simple species, that provide complex behaviors at the group level. We present a mult...

The biological metaphor is an analogy between the biological world and the artificial world that enables us to benefit from artificial approaches by imitating some biological aspects while ignoring others. The biological metaphors, also called bio-inspired approaches, depend not only, on the biological field considered, but also on our understanding of that field and the paradigms and means we ...

The bio-inspired optimization techniques have obtained great attention in recent years due to its robustness, simplicity and efficiency to solve complex optimization problems. The firefly Optimization (FA or FFA) algorithm is an optimization method with these features. The algorithm is inspired by the flashing behavior of fireflies. In the algorithm, randomly generated solutions will be conside...

Wireless ad-hoc networks are infrastructureless and they consist of nodes that come together and start communicating dynamically without requiring any backbone support. The nodes can enter and leave the network at will and can move about in the network at will. Ad-hoc networks present the perfect test-beds for bio-inspired computing algorithms. Both ad-hoc networks and bio-inspired computing ap...

Biologically inspired robotics is a rapidly emerging research area standing at the cross-cut of biology, artificial intelligence, and robotics. The structural and functional perfection of the biological creatures achieved through thousands of years of evolution in nature have made them a great source of inspiration for designing complex autonomous systems. Accordingly, robotics researchers have...

In this paper, we propose a novel HYBRID Bio-Inspired algorithm for task scheduling and resource management, since it plays an important role in the cloud computing environment. Conventional scheduling algorithms such as Round Robin, First Come First Serve, Ant Colony Optimization etc. have been widely used in many cloud computing systems. Cloud receives clients tasks in a rapid rate and alloca...