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 6 of 6 for “"adaptive mutation"”.
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Evolutionary algorithm for multiobjective optimization: Cooperative coevolution and new features
… solutions along the Pareto front, an adaptive mutation operator and an enhanced exploration strategy are proposed. The adaptive mutation operator adapts the mutation rate to maintain a balance between the introduction of diversity and local fine-tuning. The enhanced exploration …
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Self-adaptive evolution of model structures and parameters / by Jason John Bobbin.
This thesis proposes a new self-adaptive, symbiotic model evolution framework SASME. SASME is described generally and then applied to the specific task of evolving rule sets with explicit default hierarchies for learning problems. Experiments are conducted on the SASME framework to establish the …
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Generation of SOS inhibitors as co-drugs to potentiate the activity of bactericidal antibiotics and to block the emergence of antibiotic resistance
… In contrast, recent data suggested that mutations evolve after cells encounter antibiotic therapy. This kind of mutation is known as adaptive mutation, which is activated by the SOS DNA repair and mutagenesis pathways. Accumulation of single-stranded DNA (ss-DNA) is the signal that …
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A mathematical analysis of evolutionary rescue and niche construction
… a population approaching extinction until an adaptive mutation appears and subsequently establishes by escaping stochastic loss. While most models of evolutionary rescue emphasize mutations that allow organisms to persist in hostile environments, a less explored possibility---known as positive …
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Gene expression programming for Efficient Time-series Financial Forecasting
… achieves novelty by proposing a fractional adaptive mutation rate Elitism (GEP-FAMR) technique to initiate a balance between varied mutation rates between varied-fitness chromosomes thereby improving prediction accuracy and fitness improvement rate. The methodology is evaluated against five …
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Compact Dynamic Optimisation Algorithm
… problems. Several techniques such as hyper-mutation, hyper-learning, hyper-selection, change detection and many more have been developed specifically for solving dynamic optimisation problems. However, the complex structure of algorithms employing these techniques make them unsuitable for …