Sökning: "Random Search Algorithm"

Visar resultat 1 - 5 av 44 uppsatser innehållade orden Random Search Algorithm.

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. Modelling Cyber Security of Networks as a Reinforcement Learning Problem using Graphs : An Application of Reinforcement Learning to the Meta Attack Language

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

   Författare :Sandor Berglund; [2022]
   Nyckelord :Attack graphs; reinforcement learning; graph neural networks; Meta Attack Language; MAL; deepQ-learning DQN ; Attackgrafer; förstärningsinlärning; artificiella neuronnät; grafneuronnät; djup Qinlärning; Meta Attack Language; MAL;

   Sammanfattning : ICT systems are part of the vital infrastructure in today’s society. These systems are under constant threat and efforts are continually being put forth by cyber security experts to protect them. By applying modern AI methods, can these efforts both be improved and alleviated of the cost of expert work. LÄS MER

5. 4. Initial access in 5G mmWave networks with different base station parameters

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

   Författare :Xiao Yang; [2022]
   Nyckelord :Initial Access; Millimeter-Wave Network; Cell Search; Random Search; Genetic Algorithm; Machine Learning; Första åtkomst; Millimetervågsnätverk; Cell sökning; Slumpmässig sökning; Genetisk algoritm; Maskininlärning;

   Sammanfattning : Nowadays in the fifth generation (5G) communication systems, millimeter wave (mmWave) has aroused interest to not only industrial use but also network operators due to the massive amount of bandwidth available at mmWave frequencies. Initial access in cellular systems is an essential procedure in which new mobile user equipment (UE) establishes a connection with a base station (BS). LÄS MER

7. 5. Active Learning for Solving Expensive Optimization Problems

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Siwei Fu; [2022]
   Nyckelord :;

   Sammanfattning : Many practical engineering and computer science problems can be translated into a global otimization problem where the task is to find the best (optimal) vector 𝒙𝒙∗ that gives the smallest possible function value 𝑓𝑓 = 𝑓𝑓(𝒙𝒙∗) for some function 𝑓𝑓() of interest. Often the function 𝑓𝑓() is expensive in the sense that it cannot be easily evaluated computationally or experimentally in terms of time and/or resources required. LÄS MER