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Evolutionary Game Prototyping using the Unreal Development Kit
(Master thesis, 2010)The goal of this thesis was to evaluate the Unreal Development Kit (UDK)as an evolutionary game prototyping tool. To conduct this evaluation in arealistic setting, a prototype of a game concept was to be implemented usingthis ... -
Evolutionary History, Genomic Adaptation to Toxic Diet, and Extinction of the Carolina Parakeet
(Peer reviewed; Journal article, 2020)As the only endemic neotropical parrot to have recently lived in the northern hemisphere, the Carolina parakeet (Conuropsis carolinensis) was an iconic North American bird. The last surviving specimen died in the Cincinnati ... -
Evolutionary multi-objective optimization for band selection of hyperspectral imagery using a cluster-based representation
(Master thesis, 2019)Planeten vi lever på er i endring, nå mer enn noensinne. Forsåelse for hvordan disse endringene påvirker miljøet er avgjørende for å bevare jorda for fremtidige genrasjoner. Utviklinger i teknologi for fjernanalyse og ... -
Evolutionary Music Composition: A Quantitative Approach
(Master thesis, 2011)Artificial Evolution has shown great potential in the musical domain. One task in which Evolutionary techniques have shown special promise is in the automatic creation or composition of music. However, a major challenge ... -
Evolutionary optimization of on-line multilayer perceptron for similarity-based access control
(Chapter, 2017)Neural Networks have been successfully used in different fields of Information Security such that network intrusion detection and malware analysis because of ability to provide high level of abstraction for complex and ... -
Evolutionary or epistemic discordance? Analyzing the Paleolithic diet through the lens of the quantified self
(Master thesis, 2022)Bakgrunn: Næringsinntak er en viktig og vedvarende eksponering i menneskers liv og spiller en sentral rolle i helse og sykdom. Økt forståelse for de betydelige fysiologiske effektene kostholdsendringer kan føre til har ... -
Evolutionary Robotics
(Master thesis, 2010)In this report we have looked at the application of the evolutionary process applied to neural networks, and in particular the CTRNN network type. We have experimented with the network structure, network parameters and all ... -
Evolutionary strategies as an alternative to backpropagation methods
(Bachelor thesis, 2022)Den mest brukte treningsmetoden i maskinlæringsfeltet er backpropagation. Men denne metoden er kjent for å ha enkelte svakheter med generalisering og støymiljø. Evolutionary Strategies (ES) derimot, har vist seg å kunne ... -
Evolutionary tipping points in the capacity to adapt to environmental change
(Journal article; Peer reviewed, 2015)In an era of rapid climate change, there is a pressing need to understand how organisms will cope with faster and less predictable variation in environmental conditions. Here we develop a unifying model that predicts ... -
Evolvability A Unifying Concept in Evolutionary Biology?
(Book, 2023)Essays on evolvability from the perspectives of quantitative and population genetics, evolutionary developmental biology, systems biology, macroevolution, and the philosophy of science. Evolvability—the capability of ... -
Evolvability and trait function predict phenotypic divergence of plant populations
(Peer reviewed; Journal article, 2023)Understanding the causes and limits of population divergence in phenotypic traits is a fundamental aim of evolutionary biology, with the potential to yield predictions of adaptation to environmental change. Reciprocal ... -
Evolvability of Instruction-Based Random Boolean Networks
(Master thesis, 2015)Random Boolean Networks are a generalisation of binary Cellular Automata, without a fixed topology. This thesis presents an RBN implementation using an instruction-based approach, and compares this to a traditional ... -
Evolvability predicts macroevolution under fluctuating selection
(Peer reviewed; Journal article, 2024)Heritable variation is a prerequisite for evolutionary change, but the relevance of genetic constraints on macroevolutionary timescales is debated. By using two datasets on fossil and contemporary taxa, we show that ... -
Evolvability, Complexity and Scalability of Cellular Evolutionary and Developmental Systems
(Doctoral thesis at NTNU;2015:31, Doctoral thesis, 2015)Man-made systems, such as supercomputers and software, IT-infrastructures and networks of any kind, are continuously growing in size and complexity. As conventional top-down engineering techniques may have reached the ... -
An evolve-then-correct reduced order model for hidden fluid dynamics
(Journal article; Peer reviewed, 2020)n this paper, we put forth an evolve-then-correct reduced order modeling approach that combines intrusive and nonintrusive models to take hidden physical processes into account. Specifically, we split the underlying dynamics ... -
Evolving a 2D Model of an Eye using CPPNs
(Master thesis, 2008)This papers uses CPPNs to evolve 2D models of an eye. These models are graded by a fitness function award high information retrieval. The papers shows resulting models with intersting properties and which are similar in ... -
Evolving a roving-eye for go revisited
(Master thesis, 2007)This thesis presents a further development of Neuroevolution of Augmenting topologies(NEAT)[21]. The author augments NEAT by parallelizing the fitness evaluation of the phenotypes enabling the method to be utilized on ... -
Evolving Agent Swarms for Clustering,Patch Sorting, and Annular Sorting
(Master thesis, 2005)Colonies of social insects are capable of solving complex tasks that far exceed the abilities of each individual insect. The colonies do not use any supervisor or blueprint to organize their work, instead the solutions ... -
Evolving artificial neural networks for cross-adaptive audio effects
(Master thesis, 2017)Cross-adaptive audio effects have many applications within music technology, including for automatic mixing and live music. Commonly used methods of signal analysis capture the acoustical and mathematical features of the ... -
Evolving Behaviour Trees: - Automatic Generation of AI Opponents for Real-Time Strategy Games
(Master thesis, 2016)Video games are a source of fun and enjoyment for millions of people across the globe. Artificial Intelligence (AI) is an essential part of many games and there is an increasing demand for ever more realistic computer ...