This paper analyses the difficulty of big data analytics problems and the potential of swarm intelligence solving big data analytics problems. Nowadays, the big data analytics has attracted more and more attentions, which is required to manage immense amounts of data quickly. However, current researches mainly focus on the amount of data. In this paper, the other three properties of big data an...

Title of Thesis: SWARM INTELLIGENCE AND STIGMERGY: ROBOTIC IMPLEMENTATION OF FORAGING BEHAVIOR. Mark Russell Edelen.Help Working with Abstracts. This paper gives a broad overview of swarm intelligence in three parts: biological basis, artificial literature and swarm engineering.Engineers Australia members or students. ABSTRACT: This talk provides an introduction to Swarm Intelligence SI, a disc...

A Mobile Ad-Hoc Network (MANET) is a collection of autonomous self-organizing wireless mobile nodes forming a temporary network without using centralized access points. They use wireless medium for communication, hence two nodes can communicate directly if and only if they are within each other’s transmission radius in a multi-hop fashion. In MANET, each node can act as a node as well as a rout...

Swarm robots are special multi-robots and usually considered being controlled with swarm intelligence-basedmethod to complete some assigned complex tasks (Dorigo and Sahin, 2004). Similar to the biological counterparts in nature, swarm intelligence among such artificial system is emerged from local interactions between individual robots or individual robot and its environment (Beni, 2005; Şahin...

Swarm Microrobotics aims to apply Swarm Intelligence algorithms and strategies to a large number of fabricated miniaturized autonomous or semi-autonomous agents, allowing collective, decentralized and self-organizing behaviors of the robots. The ability to establish basic information networking is fundamental in such swarm systems, where inter-robot communication is the base of emergent behavio...

In this paper, we show a survey of meta-heuristics algorithms based on grouping of animals by social behavior for the Traveling Salesman Problem, and propose a new classification of meta-heuristics algorithms (not based on swarm intelligence theory) based on grouping of animals: swarm algorithms, schools algorithms, flocks algorithms and herds algorithms: a) The swarm algorithms (inspired by th...

This work gives an overview of the broad field of computational swarm intelligence and its applications in swarm robotics. Computational swarm intelligence is modelled on the social behavior of animals and its principle application is as an optimization technique. Swarm robotics is a relatively new and rapidly developing field which draws inspiration from swarm intelligence. It is an interestin...

There are various bio inspired and evolutionary approaches including genetic programming (GP), Neural Network, Evolutionary programming (EP) exp loited for routing optimizat ion in MANETs and WSNs. The Swarm Intelligence based algorithmic approaches; Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) are more p romising in provid ing loop free, energy-aware, and mult i-path rou...

Currently, swarm robotics is one of the most promising technologies in computer science. As technologies become smarter, the potential for swarm robotics improve and the coordination of multi robot system finds applications in various fields. This paper adds new perspective to autonomous cars by proposing to incorporate swarm robotics into it. This paper summarizes various algorithms used in sw...

This contribution deals with an optimal design of a brushless DC motor, using optimization algorithms, based on collective intelligence. For this purpose, the case study motor is perfectly explained and its significant specifications are obtained as functions of the motor geometric parameters. In fact, the geometric parameters of the motor are considered as optimization variables. Then, the obj...