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Multi-objective Genetic Algorithm for Engineering Design Optimization
(Master thesis, 2020)Denne rapporten utforsker hvordan evolusjonær databehandling metoder blir brukt for strukturell optimalisering, med et fokus på bruk av genetiske algoritmer til design av jacketer. Jacketer er fagverksplattformer bygget i ... -
A Multi-Objective Genetic Algorithm for Jacket Optimization
(Chapter, 2021)In this paper, we describe underlying concepts related to the problem of jacket design as well as previous research on jacket design optimization. Motivated by the complexity of the problem, including the multiple objectives ... -
Multi-objective mixture design of cemented paste backfill using particle swarm optimisation algorithm
(Peer reviewed; Journal article, 2020)In order to achieve a successful cemented paste backfill (CPB) mixture design, multiple project requirements such as strength, flowability and cost should be met. For this achievement, the key design parameters, solid ... -
Multi-Objective Neuroevolution in Super Mario Bros.
(Master thesis, 2013)This thesis explores how to use Multi-Objective Evolutionary Algorithms (MOEA)to solve problems that are not explicitly defined as multi-objective problems. Aneuroevolution technique consisting of combining a multi-objective ... -
A multi-objective optimal design method for thermal energy storage systems with PCM: A case study for outdoor swimming pool heating application
(Journal article; Peer reviewed, 2020)Traditional design methods for thermal energy storage systems (TES) with phase change material (PCM) are mostly based on worst-case scenario, which causes too large size of main components. Current optimal design methods ... -
A multi-objective optimisation framework to design membrane-based energy recovery ventilation for low carbon buildings
(Peer reviewed; Journal article, 2023)Membrane energy exchangers (MEEs) are increasingly being studied and utilized to contribute to realising energy-efficient building services and providing satisfactory indoor environments. The performance of MEEs has been ... -
Multi-objective Optimisation of FPSO Hull Geometry Using Genetic Algorithm Variations
(Master thesis, 2020)En flytende produksjons-, lagrings- og avlastningsenhet (FPSO) er ofte det eneste levedyktige alternativet for olje- og gassproduksjon på dypt vann. Flere reservoarer blir oppdaget på dypt vann, og populariteten til FPSO-er ... -
Multi-objective optimization for EEG channel selection and accurate intruder detection in an EEG-based subject identification system
(Peer reviewed; Journal article, 2020)We present a four-objective optimization method for optimal electroencephalographic (EEG) channel selection to provide access to subjects with permission in a system by detecting intruders and identifying the subject. Each ... -
Multi-objective optimization for efficient motion of underwater snake robots
(Journal article; Peer reviewed, 2016)Underwater snake robots constitute a bio-inspired solution within underwater robotics. Increasing the motion efficiency in terms of the forward speed by improving the locomotion methods is a key issue for underwater robots. ... -
A multi-objective optimization method for industrial park layout design: The trade-off between economy and safety
(Peer reviewed; Journal article, 2021)The general layout design significantly impacts the economy and safety performance of an industrial park. In most of the previous works, safety issues are converted to economic numbers in objective functions. However, this ... -
Multi-objective optimization of a nearly zero-energy building based on thermal and visual discomfort minimization using a non-dominated sorting genetic algorithm (NSGA-II)
(Journal article; Peer reviewed, 2015-07-06)Multi-objective optimization methods provide a valid support to buildings’ design. They aim at identifyingthe most promising building variants on the basis of diverse and potentially contrasting needs. However,optimization ... -
Multi-Objective Optimization of Building Energy Design to Reconcile Collective and Private Perspectives: CO2-eq vs. Discounted Payback Time
(Journal article; Peer reviewed, 2017)Building energy design is a multi-objective optimization problem where collective and private perspectives conflict each other. For instance, whereas the collectivity pursues the minimization of environmental impact, the ... -
Multi-omic detection of Mycobacterium leprae in archaeological human dental calculus
(Peer reviewed; Journal article, 2020)Mineralized dental plaque (calculus) has proven to be an excellent source of ancient biomolecules. Here we present a Mycobacterium leprae genome (6.6-fold), the causative agent of leprosy, recovered via shotgun sequencing ... -
A multi-omics approach unravels metagenomic and metabolic alterations of a probiotic and synbiotic additive in rainbow trout (Oncorhynchus mykiss)
(Peer reviewed; Journal article, 2022)Background Animal protein production is increasingly looking towards microbiome-associated services such as the design of new and better probiotic solutions to further improve gut health and production sustainability. ... -
Multi-OMICs landscape of SARS-CoV-2-induced host responses in human lung epithelial cells
(Peer reviewed; Journal article, 2022)COVID-19 pandemic continues to remain a global health concern owing to the emergence of newer variants. Several multi-Omics studies have produced extensive evidence on host-pathogen interactions and potential therapeutic ... -
Multi-omics molecular profiling of prostate cancer
(Doctoral theses at NTNU;2019:59, Doctoral thesis, 2019)Prostate cancer is the most common form of malignancy inflicting men in the west and manifests itself as a heterogeneous disease with a range of different clinical outcomes. Whereas some prostate tumors grow slowly and ... -
Multi-Orbital Tight-Binding Models for Spin-Orbit Coupled Phosphorene and Mg2X (X=Si, Ge, Sn, Pb) Compounds Subject to Strain
(Master thesis, 2022)Tight-binding (TB) modeller for spinn-bane koblet ett-lags svart fosfor og Mg2X forbindelser (X=Si, Ge, Sn, Pb) utvikles og tilpasses den elektroniske båndstrukturen forutsett av density-functional theory (DFT). Målet er ... -
Multi-paradigmatic approaches in cybersecurity economics
(Peer reviewed; Journal article, 2021)In cybersecurity economics, the selection of a particular methodology is a matter of interest and importance for the researchers. Methodologically sophisticated research forms an essential basis for understanding the ... -
Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features
(Chapter, 2020)Considering the increasing complexity and scale of HPC architecture and software, the performance modeling of parallel applications on large-scale HPC platforms has become increasingly important. It plays an important role ... -
Multi-Parametric Condition Monitoring of Medium-Power Generators with Brushless Exciters under Mechanical Faults
(Peer reviewed; Journal article, 2023)The interest in reliable condition monitoring of small-to-medium-power generator sets (GenSets) has increased in recent years due to the multiple benefits of prompt and decisive fault detection. This leads to the minimization ...