Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 477 for “"Swarm"”.
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Geometry-Sensitive Swarm Algorithms
… the development of algorithms for robotic swarms. Robotic swarms consist of many simple and often identical agents that interact solely via local sensing and communication. Swarm algorithms seek to produce collective behaviors within the swarm such as aggregation, consensus achievement, and …
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Musical swarm robot simulation strategies
Swarm robotics for music is a relatively new way to explore algorithmic composition as well as new modes of human robot interaction. This work outlines a strategy for making music with a robotic swarm constrained by acoustic sound, rhythmic music using sequencers, motion causing changes in the …
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Clustering analysis using Swarm Intelligence
… thesis is concerned with the application of the swarm intelligence methods in clustering analysis of datasets. The main objectives of the thesis are ∙ Take the advantage of a novel evolutionary algorithm, called artificial bee colony, to improve the capability of K-means in finding global optimum …
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LightMARL : smart swarm coordination in urban spaces
… in simulated environments, including drone swarms, vehicle platooning, and sensor networks, demonstrates the framework’s effectiveness. This study illustrates that complex multi-agent coordination is possible on edge devices, enabling new applications in autonomous functionality.
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Dual Satellite Coverage using Particle Swarm Optimization
… of the optimal solutions generated by a Particle Swarm Optimization method is completed using a cost function with different weights for the time, fuel, and angle terms. Three different scenarios are presented: a single burn case, a double burn case, and a four burn case. The results are …
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Multi-objective particle swarm optimisation: methods and applications.
… eld of multi-objective optimisation and particle swarm optimisation raising several challenges. This is tackled from di erent aspects including the proposal of new archiving techniques to developing new methods and quality measures. Smart Multi-objective Particle Swarm Optimisation based on …
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Electronic warfare asset allocation with human-swarm interaction
… solution convergence in some fashion. Particle Swarm Optimization (PSO) approaches this problem with accurate and rapid approximation to the electronic warfare asset allocation problem (EWAAP) with near-real-time solution convergence using a linear combination of weighted components for tness …
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Distributed intelligent systems for a swarm of robots
… map exists, leading to setting a suitable swarm formation compatible with the area to be explored. Having a suitable swarm formation allows the swarm to preserve the overall exploration time, by distributing sub-tasks for each robot, and collecting relevant data. Current swarm formations …
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Analysis of bandwidth attacks in a bittorrent swarm
The beginning of the 21st century saw a widely publicized lawsuit against Napster. This was the first Peer-to-Peer software that allowed its users to search for and share digital music with other users. At the height of its popularity, Napster boasted 80 million registered users. This marked the …
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Rapidly Estimating Swarm Resource Needs Through Autonomous Simulation
… search and rescue or ocean surveying. Autonomous swarm ships’ ability to scale rapidly and operate with limited resources allows them to outperform conventional crewed ships at these collaborative operations. Despite their incredible potential, perpetually operating productive autonomous swarms …
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A Swarm Intelligence Approach to Distributed Mobile Surveillance
… as an inspiration for new control schemes. Swarm intelligence research centers around the interactions of such systems and how they can be applied to contemporary problems. In this thesis, a surveillance system of mobile autonomous robots based on the principles of swarm intelligence is …
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Human robotic swarm interaction using an artificial physics approach
… forces allow the collection of agents, or the swarm, to autonomously find the operator, create a formation, and navigate way-points. The operator has high-level control of the agents via a hand held-controller. This framework is applicable to a scenario where an operator in the field needs to …
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Experimental analysis on the operation of Particle Swarm Optimization
In Particle Swarm Optimization, it has been observed that swarms often stall as opposed to converge. A stall occurs when all of the forward progress that could occur is instead rejected as Failed Exploration. Since the swarms particles are in good regions of the search space with the potential to …
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Towards a swarm robotic approach for cooperative object recognition
Social insects have inspired the behaviours of swarm robotic systems for the last 20 years. Interactions of the simple individuals in these swarms form solutions to relatively complex problems. A novel swarm robotic method is investigated for future robotic cooperative object recognition tasks. …
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Set-based Particle Swarm Optimisation for Dynamic Optimisation Problems
… the application of set-based particle swarm optimisation (SBPSO) to dynamic combinatorial optimisation problems and dynamic multivariate regression problems, which involve bilevel optimisation over both continuous and discrete domains. After a review of relevant optimisation theory and …
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Multi-objective optimisation using sharing in swarm optimisation algorithms
… the help of evolutionary computation. Particle Swarm Optimisation (PSO) is a relatively new heuristic that shares some similarities with evolutionary computation techniques, and that recently has been successfully modified to solve multi-objective optimisation problems. In this thesis we first …
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Developing a New Mechanical Model for Swarm Development in Myxococcus xanthus & Establishing a Genotype-to-Phenotype Correlation Between Swarm Pattern Formation and Gene Homology
… will organize to form a predatory biofilm or “swarm” that grows and expands if placed on a nutrient-rich agar surface. If placed on a nutrient-poor agar surface, the same swarm will turn inward and contract, aggregating to form spore-filled multicellular fruiting bodies designed to survive …
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