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 64 for “"Coevolutionary"”.
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Coevolutionary genetic algorithms for proactive computer network defenses
This thesis explores the use of coevolutionary genetic algorithms as tools in developing proactive computer network defenses. We also introduce rIPCA, a new coevolutionary algorithm with a focus on speed and performance. This work is in response to the threat of disruption that computer networks …
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Rules of engagement: competitive coevolutionary dynamics in computational systems
… that evolutionary biologists have considered coevolutionary interactions since the dawn of Darwinism, it is perhaps surprising that coevolution was largely overlooked during the formative years of evolutionary computing. It was not until the early 1990s that Hillis' seminal work thrust …
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Coevolutionary dynamics under anthropogenic impact in intensively managed landscapes
Anthropogenic activities have encroached on floodplains for infrastructure and modified the landscapes for agriculture. Over time these become intensive and extensive to support increasing societal and economic demand. For example, landscapes in the U.S. Midwest have lost wetlands and native …
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Signatures and forgeries: optimality in a coevolutionary arms race
… antagonistically, ‘arms races’ played out on coevolutionary battlegrounds can drive the rapid evolution of intricate and complex adaptations in each species. However, evolution in one species may prevent optimality in these adaptations from being realised in the other. In the Choma District of …
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Investigating coevolutionary algorithms For expensive fitness evaluations in cybersecurity
Coevolutionary algorithms require evaluating fitness of solutions against adversaries, and vice versa, in order to select high quality individuals to generate offspring and evolve the population. However, some problems require computationally expensive fitness evaluations, which makes it hard to …
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Untangling the coevolutionary history between doves and their parasitic lice
In host-parasite systems, any given host species can be associated with multiple types of parasites, each of which can have a unique ecological relationship with the host. However, it remains unclear how these ecological differences link to evolutionary patterns. What shapes the dynamics of a …
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Investigating coevolutionary algorithms for finding Nash equilibria in cybersecurity problems
… attacker-defender interactions using competitive coevolutionary algorithms and investigated Nash equilibria within these cybersecurity problems. In particular, we examined and presented variations on two existing algorithms that look for Nash equilibria: NashSolve and HybridCoev. To compare these …
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Phenotypic consequences of adaptive toxin production and resistance in coevolutionary partners
… arise, and they may limit the extent to which coevolutionary arms-race dynamics between predator and prey develop, determining which party will best the other. In the western U.S., toxic Pacific newts (Taricha) are defended by a highly potent neurotoxin. This neurotoxin makes them too dangerous …
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Coevolutionary algorithms for the optimization of strategies for red teaming applications
… involving a genetic algorithm (GA), a basic coevolutionary algorithm and three variants of the coevolutionary algorithm. An initial pilot study involving the GA showed some limitations, as GAs only support the optimization of a single population at a time against a fixed strategy. However, in …
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Discovering and Detecting Tax Avoidance Using Natural Language Processing and Coevolutionary Algorithms
… iBOB schemes within a tax network by using a coevolutionary framework powered by two large language model (LLM) agents: a tax planner, which generates transactions to reduce tax and suspicion, and an auditor, which generates patterns to detect tax avoidance. This thesis shows that as the tax …
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Coevolutionary causes and consequences of high-fidelity mimicry by a specialist brood parasite
Mimicry is often invoked as a classic demonstration of the power of natural selection. However, mimicry systems are diverse and the accuracy of mimicry, or mimetic fidelity, varies from crude to near-perfect. There is growing evidence that low-fidelity mimicry is the norm, with cases of …
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The performance of coevolutionary topologies in developing competitive tree manipulation strategies for symbolic regression
… from a spec”. In this study we investigate a coevolutionary spec-based approach to dynamically damage and repair programs mathematical programs (functions). We opt for mathematical functions instead of software due to their functional similarities and simpler syntax and semantics. We utilize …
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Visualizing adversaries : transparent pooling approaches for decision support in cybersecurity
Using coevolutionary algorithms to find solutions to problems is a powerful search technique but once solutions are identified it can be difficult for a decision maker to select a solution to deploy. ESTABLO runs multiple competitive coevolutionary algorithm variants independently, in parallel, and …
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Peer-to-peer network modeling for adversarial proactive cyber defenses
… test adversarial behavior using the integrated coevolutionary algorithms. Second, the thesis implements the integration of the coevolutionary algorithms with a more complex, proprietary emulator that implements an advanced version of Chord. Our experiments with this system start to investigate …
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Deep learning and coevolution reveal proteome-wide protein-protein interactions
… protein structure prediction models capture coevolutionary information at significantly higher resolution than statistical methods and we exploit this coevolutionary signal to computationally predict protein-protein interactions with high accuracy based on gold-standard benchmarks. We create …
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Automated Telescience: Active Machine Learning Of Remote Dynamical Systems
… of this work fall into three categories: coevolutionary search methods and applications, inferring the underlying structure of dynamical systems, and remote controlled automated science. First, a collection of coevolutionary search methods and applications are presented. These approaches …
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Using Co-evolutionary Information to Improve Protein Language Modelling
… engineering tasks and better incorporating coevolutionary and structural information. We also develop an unsupervised language model that conditions the target sequence on its multiple sequence alignment, allowing us to better model protein families.
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Phylogenetic Signals in Protein Data
… increase in accuracy with the discovery of coevolutionary signals in a multiple sequence alignment (MSA). Unlike methods which fold proteins using molecular dynamic (MD) simulations, these coevolutionary methods make use of correlation information to fold large protein structures orders of …
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