Sökning: "multi-objective"

Visar resultat 1 - 5 av 129 uppsatser innehållade ordet multi-objective.

1. 1. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jiayi Feng; [2023]
   Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

   Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

3. 2. Implementing and comparing challengers to popular multi-objective algorithms for unit test cases generation

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Författare :Elias Lindfors; [2023]
   Nyckelord :multi-objective; evosuite; genetic; algorithm;

   Sammanfattning : The topic of multi-objective algorithms has been researched for many years, where hundreds of multi-objective algorithms have been developed. With the field of search-based software engineering attracting use-cases, more research on which algorithms are fitting the area is still lacking. LÄS MER

4. 3. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Shihang Zhou; [2023]
   Nyckelord :Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

   Sammanfattning : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. LÄS MER

5. 4. An Evaluation of GeneticAlgorithm Approaches for theUnit Commitment Problem inPower Generation Scheduling

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Nandini Mattathil Suresh; [2023]
   Nyckelord :Unit Commitment Problem; Genetic Algorithm; Meta-heuristics; Economic Dispatch; Constrained Optimization; Encoding; Crossover; Mutation; Selection;

   Sammanfattning : The Unit Commitment Problem (UCP) poses a significant challenge in optimizing powergeneration schedules within complex and dynamic energy systems. This study explores theapplication of Genetic Algorithms (GAs) as a promising approach to address UCP, their ability tonavigate complex solution spaces and adapt to changing operational conditions. LÄS MER

7. 5. Optimal process design with simulation-based optimization

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Giulia Grasso; [2023]
   Nyckelord :Optimization; Multi-Objective; Simulation-based; Optimering; flermålsoptimering; simuleringsbaserad;

   Sammanfattning : Nowadays, it has become crucial to transform company production processes in order to reduce carbon emissions. Therefore, the company LKAB is working to make the production process of iron ore pellets fossil-free. In particular, this thesis project focuses on the pellet induration stage and addresses the mathematical optimization of the process. LÄS MER