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 31 for “"Multi-objective genetic algorithm"”.
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A Multi-Objective Genetic Algorithm with Side Effect Machines for Motif Discovery
… focuses of bioinformaticians for years. We use a multi-objective genetic algorithm to evolve a specialized version of side effect machines for degenerate motif discovery. We compare some suggested objectives for the motifs they find, test different multi-objective scoring schemes and probabilistic …
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Wireless sensor network planning with application to UWB localization in GPS-denied environments
… protocols, routing, and sensor fusion algorithms. The planning and deployment of the WSN, however, has been overlooked to a great extent. These are important aspects, as we show, which can result in significant gains in WSN performance and resource utilization. We propose a …
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Optimizing Lighting Conditions for Nighttime Highway Construction Operations
… "" CONVISUAL"" is developed to establish objective lighting design criteria for nighttime highway construction in order to minimize the subjectivity and discrepancy in available lighting standards adopted by different DOTs. The framework can be utilized by state DOTs as performance-based …
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Design and optimisation of industrial Water Application Planning (WAP): modelling multi-contaminant processes with regeneration technologies
… method to handle reuse/recycle of single and multi-contaminant, a hybrid targeting method which can address multiple local optimal solutions, a single model that provides simultaneous optimisation of the interactions of multiple water-using units and regeneration (wastewater treatment …
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The Effects of Rarefaction and Thermal Non-Equilibrium on a Blunt Body and a Bicone in Hypersonic Flow and Their Shape Optimization for Reducing Both Drag and Heat Transfer
… flow with rotational non-equilibrium by using a multi-objective genetic algorithm (MOGA) for reduction of both drag and heat transfer.</p>
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Cost-optimal design of a household batch electrodialysis desalination device
… cost minimization were then explored using a multi-objective genetic algorithm. Given the low utilization of the system and the current cost of materials, the energetic cost was dominated by the capital-cost of the system. At a fixed feedwater concentration of 2000 mg/L, which is …
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A penalty-free multi-objective evolutionary optimization approach for the design and rehabilitation of water distribution systems
… with the development and application of a new multi-objective genetic algorithm in optimizing the design, operation and long term rehabilitation and upgrading of the WDS.The novelty and originality of the work done as part of this research are presented next.A seamless, augmented version of the …
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AN INNOVATIVE WORKING CONCEPT FOR VARIABLE DELIVERY FLOW EXTERNAL GEAR MACHINE
… of the machine to be maintained at an optimum, a multi-objective genetic algorithm based optimization method is used to identify the optimal design of gears and grooves in the lateral bushings. The performance of the design
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Multi-objective optimisation of safety-critical hierarchical systems
… these difficulties, meta-heuristics such as Genetic Algorithms and Tabu Search algorithms have been applied in the past for automatically determining the optimal allocation of redundancies in a system as a mechanism for optimising the reliability and cost characteristics of that system. In …
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Essays on New Product Development
… (such as comfort) are connected with the objective product attributes (such as switch type), and whether both the objective product attributes and the subjective characteristics jointly affect consumer's evaluations towards products. We show that our model outperforms the conjoint model in …
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Analysis and optimisation of thermal energy storage
… design configurations are explored. A multi-objective genetic algorithm is used to undertake thermo-economic optimisations of packed-bed thermal reservoirs and PTES systems. The algorithm generates a set of optimal designs that illustrate the trade-off between capital cost and …
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Optimum Design of Compact, Quiet, and Efficient Ventilation Fans
… and noise was formulated and implemented using a multi-objective genetic algorithm. The methodology incorporates a control vortex design approach that results in a spanwise chord and twist distribution of the blades that maximize the volumetric flow rate contribution of the outer radii, i.e. the …
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Autonomous Fire Suppression Using Feedback Control for Robotic Firefighting
… firefighting. The close proximity suppression algorithm uses IR fire detection IR stereo processing to localize a fire. Feedback of the fire size and fire target was used to manipulate the nozzle for effective placement of the suppressant onto the fire and experimentally validated with tests in …
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Stability enhancement of a transonic wing using a passive nonlinear energy sink
… examined some of the challenges associated with algorithm-based design and optimization of an NES for aeroelastic stabilization. Performance metrics were proposed and robust methods by which to evaluate them were developed. The performance metrics and methods were tested by using a …
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Integrating spacecraft and aircraft in Earth Observation System architectures
… scheduling, this thesis presents and applies a multi-objective Genetic Algorithm (GA), built using the Matlab GA toolkit. The algorithm seeks to maximize "Data Value", minimize the effects of "Data Gaps", and accounts for cost, budget, and technology readiness. The results show that under the …
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Optimization of Wind Turbine Airfoils/Blades and Wind Farm Layouts
… a numerical optimization method called Genetic Algorithm (GA) is applied to address the shape optimization of wind turbine airfoils and blades. In recent years, the airfoil sections with blunt trailing edge (called flatback airfoils) have been proposed for the inboard regions of large …
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SARLBP and STMO-GA : two novel description and selection approaches for challenging feature classification problems
… of textures; 2) an efficient feature selection algorithm to avoid redundancy and waste of learning resources; and 3) the use of a powerful classification paradigm. In this research, we focused on Classical methods for texture classification, resulting in three major contributions. First, we …
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Optimal Multi-Drug Chemotherapy Control Scheme for Cancer Treatment. Design and development of a multi-drug feedback control scheme for optimal chemotherapy treatment for cancer. Evolutionary multi-objective optimisation algorithms were used to achieve the optimal parameters of the controller for effective treatment of cancer with minimum side effects.
… of drug concentrations at the tumour sites. Multi-objective Genetic Algorithm (MOGA) is then employed to find suitable solutions where drug resistances and drug concentrations are incorporated with cancer cell killing and toxic effects as design objectives. Several constraints and specific …
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Multi-objective optimization for resource driven scheduling in construction projects
… strategies such as the utilization of multiple shifts on construction productivity, duration, and cost; and (3) analyze and quantify the impact of construction uncertainties on the generated project schedules in an efficient and effective manner especially for real-life large-scale …
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Ottimizzazione delle reti di distribuzione idrica tramite algoritmi genetici multi-obiettivo
… has been focused on the development of heuristic algorithms. This algorithms do not require continuity and linearity of the problem functions because they are linked to an external hydraulic simulator that solve equations of mass continuity and of energy conservation of the network. In this work, …
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