Aircraft maintenance routing problem–a literature survey
Sažetak The airline industry has shown significant growth in the last decade according to
some indicators such as annual average growth in global air traffic passenger demand and …
some indicators such as annual average growth in global air traffic passenger demand and …
Teaching–learning guided salp swarm algorithm for global optimization tasks and feature selection
The basic salp swarm algorithm (SSA) is a novel nature-inspired swarm intelligence
optimization algorithm based on the foraging behavior of salp individuals in the deep sea …
optimization algorithm based on the foraging behavior of salp individuals in the deep sea …
Particle swarm optimization for model selection of aircraft maintenance predictive models
Nowadays, predictive models-especially the ones based on machine learning-are widely
used to solve many big data problems. One of the main challenges within predictive models …
used to solve many big data problems. One of the main challenges within predictive models …
Ant Colony Optimization To Determine The Shortest Route Of Tourist Destinations In Bali: A Case Study
IGSM Diyasa - Jurnal Ilmiah Kursor, 2022 - kursorjournal.org
Bali is one of the popular tourist destinations in Indonesia. As technology develops, the
tourism sector also gets support in the process. The problem we address in this research is …
tourism sector also gets support in the process. The problem we address in this research is …
Optimization of a predictive aircraft maintenance routing model using mutated constrained particle swarm optimization
Aircraft maintenance routing (AMR) is one of the most studied problems in the airline
industry and has gained much attention. The aim of this chapter is to solve a mathematical …
industry and has gained much attention. The aim of this chapter is to solve a mathematical …