Essays about: "Multi-Objective Genetic Algorithm"
Showing result 1 - 5 of 33 essays containing the words Multi-Objective Genetic Algorithm.
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1. Implementing and comparing challengers to popular multi-objective algorithms for unit test cases generation
University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknikAbstract : 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
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2. An Evaluation of GeneticAlgorithm Approaches for theUnit Commitment Problem inPower Generation Scheduling
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 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
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3. Deployment planning of UAV Base Stations using Multi Objective Evolutionary Algorithms (MOEA)
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : 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
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4. Automatic icon placement approach for improved association & walkability on city wayfinding maps
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : 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
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5. A Genetic Algorithm for Personnel Scheduling in Vacation Seasons
University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenAbstract : 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