An adaptive multi-spline refinement algorithm in simulation based sailboat trajectory optimization using onboard multi-core computer systems
type: Item
instance of: scholarly article
title: An adaptive multi-spline refinement algorithm in simulation based sailboat trajectory optimization using onboard multi-core computer systems
zbMATH Open document ID: 1347.93151
author: Roman Dębski
published in: International Journal of Applied Mathematics and Computer Science
publication date: 2016-10-12T00:00:00Z
Mathematics Subject Classification ID: 93C40
Mathematics Subject Classification ID: 49N90
Mathematics Subject Classification ID: 49L20
Mathematics Subject Classification ID: 65D07
zbMATH DE Number: 6637488
zbMATH Keywords: dynamic programming
zbMATH Keywords: black-box optimization
zbMATH Keywords: heterogeneous computing
zbMATH Keywords: micro HPC platform
zbMATH Keywords: cubic Hermite splines
describes a project that uses: CUDA
MaRDI profile type: Publication
full work available at URL: amcs-2016-0025
OpenAlex ID: W2465467213
cites work: The theory of dynamic programming
cites work: On a routing problem
cites work: Q3292915
cites work: Survey of Numerical Methods for Trajectory Optimization
cites work: Q4218150
cites work: High-performance simulation-based algorithms for an alpine ski racer's trajectory optimization in heterogeneous computer systems
cites work: A note on two problems in connexion with graphs
cites work: Direct search methods: Then and now
cites work: A Simulation Model for Predicting Yacht Match Race Outcomes
cites work: Q3285814
cites work: Mathematics and Its History
cites work: Q3149379
cites work: Customized crossover in evolutionary sets of safe ship trajectories
cites work: Optimization-based approach to path planning for closed chain robot systems
cites work: A hybrid multiagent approach for global trajectory optimization
cites work: Direct and indirect methods for trajectory optimization
DOI: 10.1515/AMCS-2016-0025
description: scientific article; zbMATH DE number 6637488