Conceptual interplanetary space mission design using multi-objective evolutionary optimization and design grammars
نویسندگان
چکیده
منابع مشابه
Satellite Conceptual Design Multi-Objective Optimization Using Co Framework
This paper focuses upon the development of an efficient method for conceptual design optimization of a satellite. There are many option for a satellite subsystems that could be choice, as acceptable solution to implement of a space system mission. Every option should be assessment based on the different criteria such as cost, mass, reliability and technology contraint (complexity). In this rese...
متن کاملsatellite conceptual design multi-objective optimization using co framework
this paper focuses upon the development of an efficient method for conceptual design optimization of a satellite. there are many option for a satellite subsystems that could be choice, as acceptable solution to implement of a space system mission. every option should be assessment based on the different criteria such as cost, mass, reliability and technology contraint (complexity). in this rese...
متن کاملMulti-objective optimization design of plate-fin heat sinks using an Evolutionary Algorithm Based On Decomposition
This article has no abstract.
متن کاملAesthetic Design Using Multi-Objective Evolutionary Algorithms
The use of computational methodologies for the optimization of aesthetic parameters is not frequent mainly due to the fact that these parameters are not quantifiable and are subjective. In this work an interactive methodology based on the use of multi-objective optimization algorithms is proposed. This strategy associates the results of different optimization runs considering the existent quant...
متن کاملEvolutionary Multi–Objective Decision Support Systems for Conceptual Design
In this thesis the problem of conceptual engineering design and the possible use of adaptive search techniques and other machine based methods therein are explored. For the multi–objective optimisation (MOO) within conceptual design problem, genetic algorithms (GA) adapted to MOO are used and various techniques explored: weighted sums, lexicographic order, Pareto method with and without ranking...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
سال: 2011
ISSN: 0954-4100,2041-3025
DOI: 10.1177/0954410011407421