In this paper we evaluate the scalability of human-swarm interaction (HSI) in terms of operator workload and asses the impact of three control methods on swarm performance and operator workload. Specifically, we investigate the ability of HSI to (1) overcome fanout limitations of traditional supervisory control and (2) manage a wide range of team sizes without altering the operator’s control st...

The purpose of this paper is to show how the search algorithm known as particle swarm optimization performs. Here, particle swarm optimization is applied to structural design problems, but the method has a much wider range of possible applications. The paper's new contributions are improvements to the particle swarm optimization algorithm and conclusions and recommendations as to the utility of...

in this paper, we propose a novel algorithm to enhance the noisy speech in the framework of dual-channel speech enhancement. the new method is a hybrid optimization algorithm, which employs the  combination of  the  conventional θ-pso and the shuffled sub-swarms particle optimization (sspso) technique. it is known that the θ-pso algorithm has better optimization performance than standard pso al...

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...

in this work, by using the particle swarm optimization the electron raman scattering for square double quantum wells is optimized. for this purpose, by combining the particle swarm algorithm together with the numerical solution procedures for equations, and also the perturbation theory we find the optimal structure that maximizes the electron raman scattering. application of this algorithm to t...

Swarms within peer-to-peer networks are hindered by content containing incorrect metadata. After publishing, any incorrect metadata requires either a complete republish/swarm recreation or for each peer to manually make corrections (causing them to leave the swarm, decreasing performance). We present an approach which enables a swarm to both collaboratively upgrade embedded data to reflect chan...

Swarm Intelligence (SI) is an innovative distributed intelligent paradigm whereby the collective behaviors of unsophisticated individuals interacting locally with their environment causing coherent functional global patterns to emerge. The intelligence emerges from a chaotic balance between individuality and sociality. The chaotic balances are a characteristic feature of the complex system. Thi...

We describe a new class of decentralised control algorithms that link local wireless connectivity to low-level robot motion control in order to maintain both swarm aggregation and connectivity, whichwe term “coherence”, in unbounded space.We investigate the potential of first-order and second-order connectivity information to maintain swarm coherence. For the second-order algorithm we show that...

In this paper, we incorporate pheromone courtship mode of biology to improve particle swarm optimizer. The particle swarm optimization technique has ever since turned out to be a competitor in the field of numerical optimization. A particle swarm optimization consists of a number of individuals refining their knowledge of the given search space. Particle swarm optimizations are inspired by part...

In this paper, an effective combination of two Metaheuristic algorithms, namely Invasive Weed Optimization and the Particle Swarm Optimization, has been proposed. This hybridization called as HIWOPSO, consists of two main phases of Invasive Weed Optimization (IWO) and Particle Swarm Optimization (PSO). Invasive weed optimization is the natureinspired algorithm which is inspired by colonial beha...