• English
    • Basque
    • español
  • English 
    • English
    • Basque
    • español
  • Login
Search 
  •   BIRD Home
  • Data Science (DS)
  • Machine Learning
  • Search
  •   BIRD Home
  • Data Science (DS)
  • Machine Learning
  • Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

Search

Show Advanced FiltersHide Advanced Filters

Filtros

Use filtros para refinar sus resultados.

Now showing items 1-7 of 7

  • Opciones de clasificación:
  • Relevancia
  • Título Asc
  • Título Desc
  • Fecha Asc
  • Fecha Desc
  • Resultados por página:
  • 5
  • 10
  • 20
  • 40
  • 60
  • 80
  • 100
Thumbnail

Algorithms for Large Orienteering Problems 

Kobeaga, G.Autoridad BCAM (2021-01)
In this thesis, we have developed algorithms to solve large-scale Orienteering Problems. The Orienteering Problem is a combinatorial optimization problem were given a weighted complete graph with vertex profits and a maximum ...
Thumbnail

An evolutionary discretized Lambert approach for optimal long-range rendezvous considering impulse limit 

Shirazi, A.Autoridad BCAM; Ceberio, J.; Lozano, J.A.Autoridad BCAM (2019-09-18)
In this paper, an approach is presented for finding the optimal long-range space rendezvous in terms of fuel and time, considering limited impulse. In this approach , the Lambert problem is expanded towards a discretized ...
Thumbnail

Optimal multi-impulse space rendezvous considering limited impulse using a discretized Lambert problem combined with evolutionary algorithms 

Shirazi, A.Autoridad BCAM; Ceberio, J.; Lozano, J.A.Autoridad BCAM (2019-07-01)
In this paper, a direct approach is presented to tackle the multi-impulse rendezvous problem considering the impulse limit. Particularly, the standard Lambert problem is extended toward several consequential orbit transfers ...
Thumbnail

Spacecraft Trajectory Optimization: A review of Models, Objectives, Approaches and Solutions 

Shirazi, A.Autoridad BCAM; Ceberio, J.; Lozano, J.A.Autoridad BCAM (2018)
This article is a survey paper on solving spacecraft trajectory optimization problems. The solving process is decomposed into four key steps of mathematical modeling of the problem, defining the objective functions, ...
Thumbnail

An efficient evolutionary algorithm for the orienteering problem 

Kobeaga, G.Autoridad BCAM; Merino, M.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2017-09-06)
This paper deals with the Orienteering Problem, which is a routing problem. In the Orienteering Problem, each node has a profit assigned and the goal is to find the route that maximizes the total collected profit subject ...
Thumbnail

Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission 

Shirazi, A.Autoridad BCAM; Ceberio, J.; Lozano, J.A.Autoridad BCAM (2017-06-06)
In space environment, perturbations make the spacecraft lose its predefined orbit in space. One of these undesirable changes is the in-plane rotation of space orbit, denominated as orbital precession. To overcome this ...
Thumbnail

Multi-objective Optimization of Orbit Transfer Trajectory Using Imperialist Competitive Algorithm 

Shirazi, A.Autoridad BCAM (2017-03-04)
This paper proposes a systematic direct approach to carry out effective multi-objective optimization of space orbit transfer with high-level thrust acceleration. The objective is to provide a transfer trajectory with ...

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
 

 

Browse

All of BIRDCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Descubre

AuthorLozano, J.A. (5)Shirazi, A. (5)Ceberio, J. (4)Kobeaga, G. (2)Merino, M. (1)Subject
Evolutionary Algorithm (7)
Aerospace Engineering (5)Spacecraft (5)Optimization (4)Lambert Problem (2)Orienteering Problem (2)Space Rendezvous (2)Astrodynamics (1)Branch-and-Cut (1)Combinatorial Optimization (1)... másFecha2021 (1)2019 (2)2018 (1)2017 (3)

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback