Asteroid rendezvous mission design using multiobjective particle swarm optimization
type: Item
instance of: scholarly article
title: Asteroid rendezvous mission design using multiobjective particle swarm optimization
zbMATH Open document ID: 1407.70021
DOI: 10.1155/2014/823659
author: Ya-zhong Luo
author: Li-ni Zhou
published in: Mathematical Problems in Engineering
publication date: 2019-02-08T00:00:00Z
review text: Summary: A new preliminary trajectory design method for asteroid rendezvous mission using multiobjective optimization techniques is proposed. This method can overcome the disadvantages of the widely employed Pork-Chop method. The multiobjective integrated launch window and multi-impulse transfer trajectory design model is formulated, which employes minimum-fuel cost and minimum-time transfer as two objective functions. The multiobjective particle swarm optimization (MOPSO) is employed to locate the Pareto solution. The optimization results of two different asteroid mission designs show that the proposed approach can effectively and efficiently demonstrate the relations among the mission characteristic parameters such as launch time, transfer time, propellant cost, and number of maneuvers, which will provide very useful reference for practical asteroid mission design. Compared with the PCP method, the proposed approach is demonstrated to be able to provide much more easily used results, obtain better propellant-optimal solutions, and have much better efficiency. The MOPSO shows a very competitive performance with respect to the NSGA-II and the SPEA-II; besides a proposed boundary constraint optimization strategy is testified to be able to improve its performance.
Mathematics Subject Classification ID: 70F15
Mathematics Subject Classification ID: 70M20
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 90C90
zbMATH DE Number: 7017351
Wikidata QID: Q59069642
describes a project that uses: SPEA2
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/823659
OpenAlex ID: W2022718934
cites work: Q3846809
cites work: Q4704222
description: scientific article; zbMATH DE number 7017351