One of the benefits of using Combs disjunctive control in swarm intelligence is the ability of the swarm to continue to operate even when one or more of its sensors are broken. Instead of failing, the swarm continues to perform based on the inputs of the remaining sensors. In this project, a multi-objective scenario is designed for a swarm of agents to complete. Once optimized, the swarm is the...

We present a novel model of crowd motion and swarm behaviour, in the form of a multi-agent system. We introduce a set of behavioural rules arising from an individual’s presence within a swarm of other individuals. First, the separation force causes every agent to maintain a comfortable distance from all others in the same swarm. Second, the alignment force causes every agent in the same swarm t...

In this paper, particle swarm optimization, which is a recently developed evolutionary algorithm, is used to optimize machining parameters in hard turning processes where multiple conflicting objectives are present. The relationships between machining parameters and the performance measures of interest are obtained by using experimental data and swarm intelligent neural network systems (SINNS)....

This paper investigates the relation between chaos and swarm intelligence. The swarm intelligent model is represented as an iterated function system (IFS). The dynamic trajectory of the particle is sensitive on the parameter values of IFS. The Lyapunov exponent and the correlation dimension were calculated and analyzed. Our preliminary research results illustrate that the performance of the swa...

In this paper we described the hardware architecture of an inexpensive, heterogeneous, mobile robot swarm, designed and developed at RISC lab, University of Bridgeport. Each UB robot swarm is equipped with sensors, actuators, control and communication units, power supply, and interconnection mechanism. This article also describes the essential features and design of a dynamic power distribution...

for multi-objective optimal reactive power dispatch (morpd), a new approach is proposed where simultaneous minimization of the active power transmission loss, the bus voltage deviation and the voltage stability index of a power system are achieved. optimal settings of continuous and discrete control variables (e.g. generator voltages, tap positions of tap changing transformers and the number of...

For a decade swarm Intelligence deals with the design of intelligent multi-agent systems by taking inspiration from the collective behaviors of social insects and other animal societies. They are characterized by a decentralized way of working that mimics the behavior of the swarm. Swarm Intelligence is a successful paradigm for the algorithm with complex problems. The aim of this review paper ...

Swarm intelligent systems are simple but robust, capable of solving complex problems that no single agent could attempt. While technological advancements have driven development of multi-agent systems across disciplines, emergent behavior inherent to swarms is a desirable yet difficult property to exploit. Solutions utilizing swarm behavior have been proposed for the Cooperative Cleaning Proble...