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 44 for “"Swarm Intelligence"”.
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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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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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Cognitive Security Framework For Heterogeneous Sensor Network Using Swarm Intelligence
<p>Rapid development of sensor technology has led to applications ranging from academic to military in a short time span. These tiny sensors are deployed in environments where security for data or hardware cannot be guaranteed. Due to resource constraints, traditional security schemes cannot be …
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Towards Bacteria Inspired Stochastic Control Strategies for Microrobotic Swarm Intelligence
Collective robotic behavior poses significant advantages over classical control methods such as system response and robustness. Biological cooperative communities have provided great insights for development of many control algorithms. Localized chemical signaling within bacterial communities is …
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Modeling Transportation Problems Using Concepts of Swarm Intelligence and Soft Computing
… social insects (ants) in an attempt to use the swarm intelligence concept to develop artificial systems with the ability to search a problem's solution space in a way that is similar to the foraging search by a colony of social insects. The development of artificial systems does not entail the …
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Swarm intelligence: novel tools for optimization, feature extraction, and multi-agent system modeling
Abstract Animal swarms in nature are able to adapt to dynamic changes in their envi-ronment, and through cooperation they can solve problems that are crucial for their survival. Only by means of local interactions with other members of the swarm and with the environment, they can achieve a common …
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ENAMS: Energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence.
… is based on the Evolutionary Computation and Swarm Intelligence to increase the life time of mobile wireless sensor networks. The presented algorithm is suitable for large scale mobile sensor networks and provides a robust and energy- efficient communication mechanism by dividing the …
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Exploring Spin-transfer-torque devices and memristors for logic and memory applications
… end, the suitability of memristive devices for swarm intelligence algorithms has enabled researchers to solve a maze in hardware. In this research, we utilized swarm intelligence of memristive networks to perform image edge detection. First, we proposed a hardware-friendly algorithm for image …
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Distributed autonomy and formation control of a drifting swarm of autonomous underwater vehicles
… domain. At the same time, research progress in swarm robotics has seen swarm intelligence algorithms in use with greater effect on real-world robots in the field. A group of AUVs utilizing swarm intelligence concepts has the potential to address issues more effectively than a single AUV, and …
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Distributed autonomy and formation control of a drifting swarm of autonomous underwater vehicles
… domain. At the same time, research progress in swarm robotics has seen swarm intelligence algorithms in use with greater eect on real-world robots in the field. A group of AUVs utilizing swarm intelligence concepts has the potential to address issues more effectively than a single AUV, and such …
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Color Image Segmentation Using the Bee Algorithm in the Markovian Framework
… estimation is provided. In addition, a survey of swarm intelligence and a number of swarm based algorithms are presented. The MRF model is used for color image segmentation in the framework. This thesis introduces a new image segmentation implementation that uses the bee algorithm as an …
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Multi-robot cooperative surveillance in unknown environments
… such as potential field-based exploration, swarm intelligence exploration, landmark-based exploration, and hop-count gradient-oriented searching, are proposed. With respect to target tracking, an artificial potential field-based intelligent tracking algorithm is proposed to enable the …
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Intelligent energy management system - techniques and methods
… argues that smart grid consists of computational intelligence and smart meters to improve the reliability, stability and security of power. In comparison with the current system, it is more intelligent, reliable, stable and secure, and will reduce the number of blackouts and other failures that …
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Charge Scheduling of Plug-in Hybrid Electric Vehicles (PHEVs) for Minimized Li-ion Battery Degradation
… that would meet the requirements of all parties. Swarm intelligence techniques are used in this thesis in order to devise strategies that would help in preventing the unnecessary degradation of Li-ion batteries. These optimization techniques are employed for specific scenarios for a future smart …
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Approcci con disequazioni variazionali e metaeuristici per modellare e investigare le strategie degli agenti
… concentrandosi su due aspetti principali: la Swarm Intelligence, ossia sull'Ottimizzazione delle Colonie di Formiche, e gli Algoritmi Immunologici per risolvere il problema della Community Detection.
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Multi-agent Coordination Algorithms for Pursuit-Evasion
… agent systems. The multi-agent coordination or swarm intelligence is a paramount concern. Based on pursuit-evasion games, this thesis investigates the safe distributed implicit coordination of large-scale multi-agent systems, as some self-organizing systems in nature. Particularly, five research …
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A new swarm optimal collective searching behaviour framework using decision-making under risk
Swarm Intelligence (SI) is a recent computational intelligence technique which mimicsand makes use of the collective behaviour of flocks of birds or schools of fish forsolving search and optimization problems. There are several decision-making modelsthat have been introduced in the literature on …
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Self-limitation, dynamic and flexible approaches for particle swarm optimisation
Swarm Intelligence (SI) is one of the prominent techniques employed to solve optimisation problems. It has been applied to problems pertaining to engineering, schedule, planning, networking and design. However, this technique has two main limitations. First, the SI technique may not be suitable for …
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Design and analysis of mobile sensing systems : an environmental data collection swarm
… portable computing have lead to an explosion in swarming as a viable method to approach large-scale data problems in the commercial, scientific, and defense sectors. This increased attention to large-scale swarm robotics has lead to an increase in swarm intelligence concepts, giving more …
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Machine Learning Applications in Blockchain for Renewable Energy Systems
… these models, the study contrasts bio-inspired Swarm Intelligence, Honey Badger Algorithm (HBA), Particle Swarm Optimization (PSO) with probabilistic Gaussian Process Bayesian Optimization, and Heteroscedastic Evolutionary Bayesian Optimization (GP-BO, HEBO). Results demonstrate that the …
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