๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Approach to Discrete Optimization Under Uncertainty: The Population-Based Sampling Genetic Algorithm

โœ Scribed by Hassan, Rania; Crossley, William

Book ID
121647461
Publisher
American Institute of Aeronautics and Astronautics
Year
2007
Tongue
English
Weight
352 KB
Volume
45
Category
Article
ISSN
0001-1452

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

[American Institute of Aeronautics and A
[American Institute of Aeronautics and Astronautics 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference - Palm Springs, California ()] 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference - Discrete Design Optimization Under Uncertainty: A Generalized Population-Based Sampling Genetic Algorithm
โœ Hassan, Rania; Crossley, William ๐Ÿ“‚ Article ๐Ÿ“… 2004 ๐Ÿ› American Institute of Aeronautics and Astronautics โš– 468 KB
An Imanishism-based genetic algorithm fo
An Imanishism-based genetic algorithm for sampling various Pareto-optimal solutions: An application to the multiobjective resource division problem
โœ Kiyoharu Tagawa; Noboru Wakabayashi; Hiromasa Haneda; Katsumi Inoue ๐Ÿ“‚ Article ๐Ÿ“… 2002 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 338 KB

## Abstract For sampling various solutions from the entire Pareto front of the multiobjective resource division problem, a new Genetic Algorithm (GA) based on an evolutionary theory advocated by Kinji Imanishi is proposed. First, two types of distance between two individuals, namely, structural and

[American Institute of Aeronautics and A
[American Institute of Aeronautics and Astronautics 40th Structures, Structural Dynamics, and Materials Conference and Exhibit - St. Louis,MO,U.S.A. (12 April 1999 - 15 April 1999)] 40th Structures, Structural Dynamics, and Materials Conference and Exhibit - A Genetic Algorithm with population-based sampling for optimization under uncertainty
โœ Crossley, William ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› American Institute of Aeronautics and Astronautics โš– 951 KB