Sökning: "genetic algorithm"

Visar resultat 6 - 10 av 283 uppsatser innehållade orden genetic algorithm.

1. 6. 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

3. 7. Exploratory analysis of immunological responses in wild and laboratory mice

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

   Författare :Ilia Alekseev; [2023]
   Nyckelord :;

   Sammanfattning : The use of mice as a model organism in biomedical research is widespread due to their similarities with humans in anatomy and physiology. However, the genetic isolation of inbred strains from natural populations raises concerns about the reliability of these models. LÄS MER

4. 8. Introducing GA-SSNN: A Method for Optimizing Stochastic Spiking Neural Networks : Scaling the Edge User Allocation Constraint Satisfaction Problem with Enhanced Energy and Time Efficiency

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

   Författare :Nathan Allard; [2023]
   Nyckelord :;

   Sammanfattning : As progress within Von Neumann-based computer architecture is being limited by the physical limits of transistor size, neuromorphic comuting has emerged as a promising area of research. Neuromorphic hardware tends to be substantially more power efficient by imitating the aspects of computations in networks of neurons in the brain. LÄS MER

5. 9. Multi-modal Public Transport Network Design Method

   Kandidat-uppsats, KTH/Transportplanering

   Författare :Mingui Liu; [2023]
   Nyckelord :multi-modal public transportation; mobility on demand; bi-level network planning and optimization; genetic algorithm;

   Sammanfattning : With the rapid development of industrialization and urbanization, industrial development and population growth drive the expansion of urban space, urban transportation demand shows the characteristics of spatial decentralization and diversification, and transportation travelers' requirements for mobility, accessibility, and comfort of transportation travel services are enhanced. Mobility on demand (MoD) services such as DiDi and Uber are new modes of public transportation, bringing many new opportunities and challenges. LÄS MER

7. 10. Deployment planning of UAV Base Stations using Multi Objective Evolutionary Algorithms (MOEA)

   Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Nadir Arfi; [2023]
   Nyckelord :Deployment planning; UAV-Base Stations; multi-objective; evolutionary algorithms; fitness approximation;

   Sammanfattning : This research study focuses on solving the deployment planning problem for UAV-BSs using Multi-Objective Evolutionary Algorithms (MOEAs). The main research objectives encompass gridbased modelling of the target area, investigating evolution parameters, and evaluating algorithm performance in diverse deployment scenarios. LÄS MER