Results 1 - 10 of 334

Multi-Objective Design Exploration for Aerodynamic Configurations

by Shigeru Obayashi, Shinkyu Jeong, Kazuhisa Chiba , 2007
"... A new approach, Multi-Objective Design Exploration (MODE), is presented to address Multidisciplinary Design Optimization problems. MODE reveals the structure of the design space from the trade-off information and visualizes it as a panorama for Decision Maker. The present form of MODE consists of Kr ..."
Abstract - Cited by 10 (2 self) - Add to MetaCart
of Kriging Model, Adaptive Range Multi Objective Genetic Algorithms, Analysis of Variance and Self-Organizing Map. The main emphasis of this approach is visual data mining. Two data mining examples using high fidelity simulation codes are presented: four-objective aerodynamic optimization for the fly

Inverse Multi-Objective Robust Evolutionary Design

by Dudy Lim, Yew-soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu Sung Lee
"... Abstract. In this paper, we present an Inverse Multi-Objective Robust Evolutionary (IMORE) design methodology that handles the presence of uncertainty without making assumptions about the uncertainty structure. We model the clustering of uncertain events in families of nested sets using a multi-leve ..."
Abstract - Cited by 4 (3 self) - Add to MetaCart
Abstract. In this paper, we present an Inverse Multi-Objective Robust Evolutionary (IMORE) design methodology that handles the presence of uncertainty without making assumptions about the uncertainty structure. We model the clustering of uncertain events in families of nested sets using a multi

Robust Bio-Active Peptide Prediction using Multi-Objective Optimization

by Giovanni Stracquadanio
"... Abstract—Bio-active peptides control many important func-tions in organisms, such as cell reproduction, appetite, eu-phoria, sleep, learning, immune response, etc. They also act on hormones, neurotransmitters, antioxidants, toxins and an-tibiotics. Because of their importance, bioactive peptides hav ..."
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effect has a consequence on their final conformation. This paper presents a strategy for peptides structure pre-diction that uses: (1) a multi-objective formulation of the optimization problem, (2) a multi-objective evolutionary al-gorithm to explore the search space, (3) a decision making phase based

AbYSS: Adapting Scatter Search for Multiobjective Optimization

by A. J. Nebro, F. Luna, E. Alba, A. Beham , B. Dorronsoro - IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION , 2006
"... In this paper we propose a new algorithm for solving multiobjective optimization problems. Our proposal adapts the well-known scatter search template for single objective optimization to the multiobjective domain. The result is a hybrid metaheuristic algorithm called AbYSS, which follows the scatter ..."
Abstract - Cited by 26 (5 self) - Add to MetaCart
In this paper we propose a new algorithm for solving multiobjective optimization problems. Our proposal adapts the well-known scatter search template for single objective optimization to the multiobjective domain. The result is a hybrid metaheuristic algorithm called AbYSS, which follows

Stracquadanio G: Robust Bio-active Peptide Prediction Using Multi-objective Optimization

by Giuseppe Narzisi , Giuseppe Nicosia , Giovanni Stracquadanio - Biosciences (BIOSCIENCESWORLD), 2010 International Conference on 2010
"... Abstract-Bio-active peptides control many important functions in organisms, such as cell reproduction, appetite, euphoria, sleep, learning, immune response, etc. They also act on hormones, neurotransmitters, antioxidants, toxins and antibiotics. Because of their importance, bioactive peptides have ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
consequence on their final conformation. This paper presents a strategy for peptides structure prediction that uses: (1) a multi-objective formulation of the optimization problem, (2) a multi-objective evolutionary algorithm to explore the search space, (3) a decision making phase based on different metrics

2010 International Conference on Biosciences Robust Bio-Active Peptide Prediction using Multi-Objective Optimization

by Giovanni Stracquadanio
"... Abstract—Bio-active peptides control many important functions in organisms, such as cell reproduction, appetite, euphoria, sleep, learning, immune response, etc. They also act on hormones, neurotransmitters, antioxidants, toxins and antibiotics. Because of their importance, bioactive peptides have r ..."
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consequence on their final conformation. This paper presents a strategy for peptides structure prediction that uses: (1) a multi-objective formulation of the optimization problem, (2) a multi-objective evolutionary algorithm to explore the search space, (3) a decision making phase based on different metrics

Simultaneous multi-topology multi-objective sizing across thousands of analog circuit topologies

by Trent Mcconaghy, Pieter Palmers, Georges Gielen, Michiel Steyaert - in DAC 2007. IEEE
"... This paper presents MOJITO, a system which optimizes across thousands of analog circuit topologies simultaneously, and returns a set of sized topologies that collectively provide a performance tradeoff. MOJITO defines a space of possible topologies as a hierarchically organized combination of truste ..."
Abstract - Cited by 8 (3 self) - Add to MetaCart
of trusted analog building blocks. To minimize the setup burden: no topology selection rules or abstract behaviors need to be specified, and performance calculations are SPICE-based. The search algorithm is a novel multi-objective evolutionary algorithm that uses an age-layered population structure

Software Module Clustering using a Fast Multi-objective Hyper-heuristic Evolutionary Algorithm

by A. Charan Kumari, K. Srinivas
"... Software evolution is a natural phenomenon in the software development life cycle. As the software evolves, the modular structure of software degrades, and at one point it becomes a challenging task to maintain the software further. Software module clustering is an important activity during software ..."
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Problem with multiple objectives. This problem is NP hard as it is an instance of graph partitioning and hence cannot be solved using traditional optimization techniques. The Multiobjective Hyper-heuristic Evolutionary Algorithm (MHypEA) is a fast and effective metaheuristic search technique

Organizing Video Search Results to Adapted Semantic Hierarchies for Topic-based Browsing

by Jiajun Wang, Yu-gang Jiang, Qiang Wang, Kuiyuan Yang, Chong-wah Ngo
"... Organizing video search results into semantically structured hierarchies can greatly improve the efficiency of browsing complex query topics. Traditional hierarchical clustering techniques are inadequate since they lack the ability to gen-erate semantically interpretable structures. In this paper, w ..."
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, we introduce an approach to organize video search result-s to an adapted semantic hierarchy. As many hot search topics such as celebrities and famous cities have Wikipedia pages where hierarchical topic structures are available, we start from the Wikipedia hierarchies and adjust the struc-tures

Design and Analysis of Robust and Adaptive Organizations *

by Georgiy M. Levchuk, Candra Meirina, Yuri N. Levchuk
"... The objectives of this paper are to: (i) define and classify the process of strategy and structural adaptation of organizations to mission and environmental changes; (ii) apply our modified design methodology to construct robust and adaptive organizations; and (iii) analyze the effects of changes in ..."
Abstract - Cited by 3 (2 self) - Add to MetaCart
The objectives of this paper are to: (i) define and classify the process of strategy and structural adaptation of organizations to mission and environmental changes; (ii) apply our modified design methodology to construct robust and adaptive organizations; and (iii) analyze the effects of changes
Results 1 - 10 of 334