Proceedings Article10.1115/DETC99/DAC-8575
Configuration Design Optimization Method
Pierre M. Grignon,Georges M. Fadel +1 more
- 12 Sep 1999
- pp 13-25
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About: This article is published in Design Automation Conference. The article was published on 12 Sep 1999. The article focuses on the topics: Configuration design.
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Citations
Vehicle configuration design with a packing genetic algorithm
TL;DR: In this article, a packing genetic algorithm with a new encoding method and packing GA operators is proposed to improve the search efficiency of 3D packing problems, in which the goal is to maximize the vehicle survivability, maintainability and minimise vehicle rollover tendency by finding optimal positions of vehicle components.
29
Design for Product Embedded Disassembly
Shingo Takeuchi,Kazuhiro Saitou +1 more
- 01 Jan 2005
TL;DR: In this article, a multi-objective genetic algorithm is used to search for Pareto optimal designs in terms of satisfaction of the distance specification among components, efficient use of locators on compo- nents, profit of EOL scenario, and environmental impact of EO scenario.
24
Bi-level Approach to Vehicle Component Layout With Shape Morphing
TL;DR: In this paper, a mass-spring physical model-based shape morphing method is proposed and implemented to fit a component of sufficient size in a limited space while optimizing the overall performance objectives of the vehicle and improving design efficiency.
17
An Assessment of Configuration Design Methodologies
Vincent Y. Blouin,Yi Miao,Xun Zhou,Georges M. Fadel +3 more
- 30 Aug 2004
TL;DR: In this article, the authors provide a review of the state-of-the-art techniques and algorithms adapted to specific problems in configuration design and packaging optimization, and a detailed description of the general design configuration process.
14
Multi-Objective Vehicle Layout Optimization
Vladimir B. Gantovnik,Santosh Tiwari,Georges M. Fadel,Yi Miao +3 more
- 06 Sep 2006
TL;DR: In this article, a multi-objective evolutionary algorithm is used for solving multiobjective placement, packing, or layout problems of U.S. Army FMTV (Family of Medium Tactical Vehicles).
10
References
•Book
Adaptation in natural and artificial systems
John H. Holland
- 01 Jan 1975
TL;DR: Names of founding work in the area of Adaptation and modiication, which aims to mimic biological optimization, and some (Non-GA) branches of AI.
On Evolution, Search, Optimization, Genetic Algorithms and Martial Arts : Towards Memetic Algorithms
Pablo Moscato
- 01 Jan 1989
TL;DR: In this paper, the authors present a short abstract, which is a summary of the paper.Short abstract, isn't it? But it is short abstracts, not abstracts.
1.8K
A Simulated Annealing-Based Approach to Three-Dimensional Component Packing
Simon Szykman,Jonathan Cagan +1 more
TL;DR: In this paper, a simulated annealing-based approach to three-dimensional component packing is presented, where the authors employ simulated annesaling to generate optimal solutions for VLSI circuits.
96
Constrained Three-Dimensional Component Layout Using Simulated Annealing
Simon Szykman,Jonathan Cagan +1 more
TL;DR: In this article, a computational algorithm that uses simulated annealing to optimize three-dimensional component layouts is introduced, which is characterized by three objectives: achieving high packing density, fitting components into a given container and satisfying spatial constraints on components.
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