Optimisation Multi-Objectifs à base de Métamodèle pour les Procédés de Mise en Forme

M Ejday - 2011 - pastel.hal.science
Dans le domaine de mise en forme, la réduction des coûts et l'amélioration des produits sont
des défis permanents à relever. Pour ce faire, le procédé de mise en forme doit être …

[PDF][PDF] 基于等价分量交叉相似性的Pareto 支配性预测

郭观七, 尹呈, 曾文静, 李武, 严太山 - 自动化学报, 2014 - aas.net.cn
摘要研究用最近邻分类预测多目标优化问题Pareto 支配性的相似性测度方法.
在分析决策分量对各目标分量贡献率的基础上定义决策向量的等价子向量, 等价子向量由贡献率 …

Predicting Pareto dominance in multi-objective optimization using pattern recognition

G Guo, W Li, B Yang, W Li, C Yin - 2012 Second International …, 2012 - ieeexplore.ieee.org
A method of predicting Pareto dominance in multi-objective optimization using pattern
recognition, and the framework of Pareto dominance classifier are proposed. A kind of …

Robust microphone array using subband adaptive beamformer and spectral subtraction

SY Low, N Grbic, S Nordholm - The 8th International …, 2002 - ieeexplore.ieee.org
This paper presents a new robust microphone array to enhance speech signal under the
influence of noise and jammer (s). The proposed structure comprises of a soft constrained …

Optimisation Multi-Objectifs à base de Métamodèle pour des applications en Mise en Forme des Métaux

M Ejday, L Fourment - Mechanics & Industry, 2010 - cambridge.org
Pour appliquer les algorithmes d'optimisation multi-objectifs à des problèmes de mise en
forme des métaux très coûteux en temps de calcul, nous étudions le couplage de …

Determining feasibility resilience: Set based design iteration evaluation through permutation stability analysis

JE Ross - 2017 - search.proquest.com
The goal of robust design is to select a design that will still perform satisfactorily even with
unexpected variation in design parameters. A resilient design will accommodate …

Nearest neighbor classification of Pareto dominance in multi-objective optimization

G Guo, C Yin, T Yan, W Li - 2012 IEEE Fifth International …, 2012 - ieeexplore.ieee.org
This study investigates the nearest neighbor classification of predicting Pareto dominance
relationships in multi-objective optimization. A similarity measurement called the sum of …

Binary nearest neighbor classification of predicting Pareto dominance in multi-objective optimization

G Guo, C Yin, T Yan, W Li - … , ICSI 2012, Shenzhen, China, June 17-20 …, 2012 - Springer
A method of predicting Pareto dominance in multi-objective optimization using binary
nearest neighbor classification (BNNC) is proposed. It encodes real value feature variables …

Efficient multi-objective optimization with fitness landscape—A special application to the optimal design of alloy-steels

S Wang, M Mahfouf - IEEE Congress on Evolutionary …, 2010 - ieeexplore.ieee.org
This paper reports on an efficient algorithm for locating theoptimal'solutions for multi-
objective optimization problems by combining a state-of-the-art optimizer with a fitness …

Nearest neighbor prediction of pareto dominance using general regression neural networks

G Guo, W Zeng, C Yin - 2013 10th International Conference on …, 2013 - ieeexplore.ieee.org
Conventional methods of determining Pareto dominance in multi-objective optimization
evaluate and compare objective vectors of candidate solutions, but the computation and (or) …