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TEC
2010
129views more  TEC 2010»
8 years 8 months ago
Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model
In some expensive multiobjective optimization problems, several function evaluations can be carried out at one time. Therefore, it is very desirable to develop methods which can g...
Qingfu Zhang, Wudong Liu, Edward P. K. Tsang, Boto...
ICTAI
2009
IEEE
8 years 11 months ago
A Confidence-Based Dominance Operator in Evolutionary Algorithms for Noisy Multiobjective Optimization Problems
This paper describes a noise-aware dominance operator for evolutionary algorithms to solve the multiobjective optimization problems (MOPs) that contain noise in their objective fu...
Pruet Boonma, Junichi Suzuki
EC
2000
96views ECommerce» more  EC 2000»
9 years 1 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
TEC
2008
150views more  TEC 2008»
9 years 1 months ago
AbYSS: Adapting Scatter Search to Multiobjective Optimization
We propose the use of a new algorithm to solve multiobjective optimization problems. Our proposal adapts the well-known scatter search template for single objective optimization to...
Antonio J. Nebro, Francisco Luna, Enrique Alba, Be...
TEC
2008
118views more  TEC 2008»
9 years 1 months ago
RM-MEDA: A Regularity Model-Based Multiobjective Estimation of Distribution Algorithm
Under mild conditions, it can be induced from the Karush-Kuhn-Tucker condition that the Pareto set, in the decision space, of a continuous multiobjective optimization problem is (m...
Qingfu Zhang, Aimin Zhou, Yaochu Jin
INFORMS
2007
150views more  INFORMS 2007»
9 years 1 months ago
SSPMO: A Scatter Tabu Search Procedure for Non-Linear Multiobjective Optimization
— We describe the development and testing of a metaheuristic procedure, based on the scatter search methodology, for the problem of approximating the efficient frontier of nonlin...
Julián Molina Luque, Manuel Laguna, Rafael ...
ORL
2008
116views more  ORL 2008»
9 years 1 months ago
Explicit gradient information in multiobjective optimization
This paper presents an algorithm that converges to points that satisfy a first order necessary condition of weakly Pareto solutions of multiobjective optimization problems. Hints ...
Ubaldo M. García-Palomares, Juan C. Burguil...
CEC
2007
IEEE
9 years 3 months ago
Flexibility of design variables to pareto-optimal solutions in multi objective optimization problems
Abstract— In this paper, we propose the concept of the flexibility of design variables to Pareto-optimal solutions in MultiObjective Optimization problems. In addition, we intro...
Tomoyuki Hiroyasu, Shinpei Chino, Mitsunori Miki
GECCO
2003
Springer
115views Optimization» more  GECCO 2003»
9 years 6 months ago
A Specialized Island Model and Its Application in Multiobjective Optimization
This paper discusses a new model of parallel evolutionary algorithms (EAs) called the specialized island model (SIM) that can be used to generate a set of diverse non-dominated sol...
Ningchuan Xiao, Marc P. Armstrong
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
9 years 6 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
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