Essays about: "Multi-Objective Genetic Algorithm"

Showing result 1 - 5 of 33 essays containing the words Multi-Objective Genetic Algorithm.

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

   University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Author : Elias Lindfors; [2023]
   Keywords : multi-objective; evosuite; genetic; algorithm;

   Abstract : 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. READ MORE

3. 2. An Evaluation of GeneticAlgorithm Approaches for theUnit Commitment Problem inPower Generation Scheduling

   University essay from Uppsala universitet/Institutionen för informationsteknologi

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

   Abstract : 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. READ MORE

4. 3. Deployment planning of UAV Base Stations using Multi Objective Evolutionary Algorithms (MOEA)

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

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

   Abstract : 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. READ MORE

5. 4. Automatic icon placement approach for improved association & walkability on city wayfinding maps

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Sofia Apostolidou; [2023]
   Keywords : Physical Geography; Ecosystem Analysis; Cartography; Icon placement; High density; City wayfinding maps; Quality metrics; Association; Disturbance; Legibility; Cartographic guidelines; Grid algorithm; Evaluation; Multi-objective optimization; NSGA-II; Pareto front; Walkability; Geomatics; Earth and Environmental Sciences;

   Abstract : With the evolution of cartography from hand-drawn to digital maps, the task of icon placement has become increasingly complex. Nowadays there is a need to automate this process to produce high quality results in less time. READ MORE

6. 5. A Genetic Algorithm for Personnel Scheduling in Vacation Seasons

   University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

   Author : Martin Fakt; [2022]
   Keywords : Personnel scheduling; Personnel rostering; Vacation; Optimization; Genetic Algorithm; Personalschemaläggning; Semester; Optimeringslära; Optimering; Genetisk Algoritm;

   Abstract : For workplaces with a preference or need for staffing around the clock, employees commonly work in shifts, which are work sessions that span different parts of the day. The scheduling of these shifts is a multi-objective optimization problem with both hard and soft constraints. READ MORE