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On the fair comparison of optimization algorithms in different machines
Arza, E.
; Pérez, A.; Ceberio, J.; Irurozki, E. (2021)
; Pérez, A.; Ceberio, J.; Irurozki, E. (2021)
An experimental comparison of two or more optimization algorithms requires the same computational resources to be assigned to each algorithm. When a maximum runtime is set as the stopping criterion, all algorithms need to ...
An evolutionary discretized Lambert approach for optimal long-range rendezvous considering impulse limit
Shirazi, A.; Ceberio, J.; Lozano, J.A. (2019-09-18)
; Ceberio, J.; Lozano, J.A. (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 ...
Optimal multi-impulse space rendezvous considering limited impulse using a discretized Lambert problem combined with evolutionary algorithms
Shirazi, A.; Ceberio, J.; Lozano, J.A. (2019-07-01)
; Ceberio, J.; Lozano, J.A. (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 ...
Bayesian Optimization Approaches for Massively Multi-modal Problems
Roman, I.; Mendiburu, A.; Santana, R.; Lozano, J.A. (2019)
(2019)
The optimization of massively multi-modal functions is a challenging task, particularly for problems where the search space can lead the op- timization process to local optima. While evolutionary algorithms have been ...
Spacecraft Trajectory Optimization: A review of Models, Objectives, Approaches and Solutions
Shirazi, A.; Ceberio, J.; Lozano, J.A. (2018)
; Ceberio, J.; Lozano, J.A. (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, ...
Evolutionary algorithms to optimize low-thrust trajectory design in spacecraft orbital precession mission
Shirazi, A.; Ceberio, J.; Lozano, J.A. (2017-06-06)
; Ceberio, J.; Lozano, J.A. (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 ...
Analysis of a hybrid Genetic Simulated Annealing strategy applied in multi-objective optimization of orbital maneuvers
Shirazi, A. (2017-03-27)
(2017-03-27)
Optimization of orbital maneuvers is one of the main issues in conceptual and preliminary design of spacecraft in different space missions. The main issue in optimization of high-thrust orbit transfers is that the common ...
A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analytics
Olabarrieta, I.; Del Ser, J.; Torre-Bastida, A.I.; Campos-Cordobes, S.; Laña, I. (2017)
; Torre-Bastida, A.I.; Campos-Cordobes, S.; Laña, I. (2017)
This paper describes a Big Data stream analytics platform developed within the DEWI project for processing upcoming events from wireless sensors installed in a truck. The platform consists of a Complex Event Processing ...
Optimal planning of slow-ramping power production in energy systems with renewables forecasts and limited storage
(2014-12-31)
We address the cost-efficient operation of an energy production system under renewables uncertainty. We develop an MDP model for an idealized system with the following features: (1) perfectly predictable power demand, (2) ...
Convergence of trajectories and optimal buffer sizing for MIMD congestion control
(2010-12-31)
We study the interaction between the MIMD (Multiplicative Increase Multiplicative Decrease) congestion control and a bottleneck router with Drop Tail buffer. We consider the problem in the framework of deterministic hybrid ...