On testing global optimization algorithms for space trajectory design [PDF]
, 2008 In this paper we discuss the procedures to test a global search algorithm applied to a space trajectory design problem. Then, we present some performance indexes that can be used to evaluate the effectiveness of global optimization algorithms.
Vasile, Massimiliano +2 more
core +12 more sources
Testing approaches for global optimization of space trajectories [PDF]
, 2008 In this paper the procedures to test global search algorithms applied to space trajectory design problems are discussed. Furthermore, a number of performance indexes that can be used to evaluate the effectiveness of the tested algorithms are presented.
Vasile, M. +7 more
core +9 more sources
Hybrid behavioural-based multi-objective space trajectory optimization [PDF]
, 2009 In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space.
Vasile, M., Vasile, Massimiliano
core +5 more sources
Multi-agent collaborative search : an agent-based memetic multi-objective optimization algorithm applied to space trajectory design [PDF]
, 2011 This article presents an algorithm for multi-objective optimization that blends together a number of heuristics. A population of agents combines heuristics that aim at exploring the search space both globally and in a neighbourhood of each agent.
Vasile, M. +3 more
core +4 more sources
Trajectory optimization for the Hevelius-lunar microsatellite mission [PDF]
, 2005 In this paper trajectory optimisation for the Hevelius mission is presented. The Hevelius-Lunar Microsatellite Mission - is a multilander mission to the dark side of the Moon, supported by a relay microsatellite, orbiting on a Halo orbit around L2. Three
Colombo, Camilla +3 more
core +3 more sources
Automated multigravity assist trajectory planning with a modified ant colony algorithm [PDF]
, 2010 The paper presents an approach to transcribe a multigravity assist trajectory design problem into an integrated planning and scheduling problem. A modified Ant Colony Optimization (ACO) algorithm is then used to generate optimal plans corresponding to ...
Vasile, Massimiliano, Ceriotti, Matteo
core +3 more sources
Trajectories for the Optimal Collection of Information
2023 IEEE Aerospace Conference, 2023 Updated to comply with conference formatting.
Matthew R. Kirchner +3 more
openaire +3 more sources
Multi-UAV Cooperative Trajectory Planning Based on Many-Objective Evolutionary Algorithm
Complex System Modeling and Simulation, 2022 The trajectory planning of multiple unmanned aerial vehicles (UAVs) is the core of efficient UAV mission execution. Existing studies have mainly transformed this problem into a single-objective optimization problem using a single metric to evaluate multi-
Hui Bai, Tian Fan, Yuan Niu, Zhihua Cui
doaj +1 more source
Four-body trajectory optimization [PDF]
12th Aerospace Sciences Meeting, 1974 The two methods which are suitable for use in a 4-body trajectory optimization program are both multiconic methods. They include an approach due to Wilson (1970) and to Byrnes and Hooper (1970) and a procedure developed by Stumpff and Weiss (1968). The various steps in a trajectory optimization program are discussed, giving attention to variable step ...
C. L. PU, T. N. EDELBAUM
openaire +1 more source
Evolutionary neurocontrol: A novel method for low-thrust gravity-assist trajectory optimization [PDF]
, 2009 This article discusses evolutionary neurocontrol, a novel method for low-thrust gravity-assist trajectory ...
Dachwald, B. +5 more
core +1 more source