Swarm Intelligence is the global intelligent behaviour emerged from the interaction of groups of simple agents. The existing swarm intelligence research mainly refers to swarm intelligence optimization, which with ant colony optimization and particle swarm optimization as a representative. And the relevant research work focuses on the performance improvements of the optimization algorithm, whic...

We specify an “individual-based” continuous-timemodel for swarm aggregation in n-dimensional Euclidean space. We show that the swarm is completely stable, and the center of the swarm is stationary. Numerical simulations indicate that the individuals will form a stable and cohesive swarm, and under the attraction/repulsion function, the bound of the swarm size will increase as the number of indi...

Evolutionary algorithm and Swarm Intelligence algorithm (EA, SI), a part of Bio inspired optimization algorithm, have been widely used to solve numerous optimization problem in various science and engineering domains. This paper proposes a Multi Swarm Particle Swarm Optimization (MS-PSO) algorithm inspired by the animal collective behavior, the movement of the swarm and the intelligence of the ...

Human-swarm interaction is an emerging field encompassing questions related to biology, robotics, computer science, human-computer interaction, and psychology. Swarms are large groups of individual entities that enact group behaviors; biological examples include fish, birds and insects. Swarms overwhelm humans’ abilities to monitor and interact with each entity. Human-robot and human-computer i...

The robotics team at Utah State University has been working on incrementally building the capabilities needed to field an autonomous swarm of rescue robots. We believe a swarm of small, low-cost robots that can identify areas needing further investigation would be of great benefit to first responders to the scene of a disaster. Blue Swarm 3 is the latest iteration in this development process an...

In order to overcome the basic glowworm swarm optimization (GSO) algorithm in the high dimension space function optimization effect is poor defects. This paper, we introduce the idea of the traditional complex method, with the complex method the worst part of the glowworm guidance for reflection be good glowworm swarm, so as to continuously make the worst glowworm swarm become the better glowwo...

It is a characteristic of swarm robotics that specifying overall emergent swarm behaviours in terms of the low-level behaviours of individual robots is very difficult. Yet if swarm robotics is to make the transition from the laboratory to real-world engineering realisation we need such specifications. This paper explores the possibility of using temporal logic to formally specify, and possibly ...

In this paper, we provide an overview of SwarmVis, a tool for visualizing swarm systems. SwarmVis integrates several visualization techniques to create informative still images and videos of swarm systems moving through twoand threedimensional space. SwarmVis allows swarm researchers to observe characteristics of swarm systems by visualizing information about such systems. We provide an overvie...

While swarms that execute decisions are well known in the swarm community, swarms that exhibit this capability a priori have never before been achieved. We demonstrate a methodology, based on the Hamiltonian method of swarm design, that enables the design and implementation of swarms that exhibit decision-making capability. We develop the theoretical structure of the method and apply it to the ...

The Swarm Application Framework (SAF) is a tool that makes the development of swarm applications more intuitive. Traditionally, swarm applications are created by programming several low-level rules. This approach leads to several problems in designing and testing swarms, which serve as inspiration for the features of SAF. SAF encourages a new paradigm for designing swarm applications: engineers...