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CORR
2010
Springer
82views Education» more  CORR 2010»
13 years 29 days ago
Lower Bounds for the Smoothed Number of Pareto optimal Solutions
In 2009, R
Tobias Brunsch, Heiko Roeglin
PIMRC
2010
IEEE
13 years 2 months ago
Energy, latency and capacity trade-offs in wireless multi-hop networks
This paper concentrates on characterizing energy, latency and capacity trade-offs in multi-hop wireless ad-hoc networks. Therefore, a multiobjective framework is proposed to derive...
Jean-Marie Gorce, Ruifeng Zhang, Katia Jaffr&egrav...
IJCIM
2007
99views more  IJCIM 2007»
13 years 4 months ago
Fuzzy multi-objective optimization for network design of integrated e-supply chains
Worldwide competition originated the development of Integrated E-Supply Chains (IESC) that are distributed manufacturing systems integrating international logistics and informatio...
Mariagrazia Dotoli, Maria Pia Fanti, Agostino Marc...
CCE
2007
13 years 4 months ago
Generate Pareto optimal solutions of scheduling problems using normal boundary intersection technique
The problem of short-term scheduling under uncertainty is addressed in this paper through a multiobjective optimization framework that incorporates economic expectation, robustnes...
Zhenya Jia, Marianthi G. Ierapetritou
DAM
2008
83views more  DAM 2008»
13 years 4 months ago
Multi-group support vector machines with measurement costs: A biobjective approach
Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we propose, for multi-group classification, a biobjective optimi...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
IPCO
2007
126views Optimization» more  IPCO 2007»
13 years 5 months ago
The Smoothed Number of Pareto Optimal Solutions in Bicriteria Integer Optimization
Abstract. A well established heuristic approach for solving various bicriteria optimization problems is to enumerate the set of Pareto optimal solutions, typically using some kind ...
René Beier, Heiko Röglin, Berthold V&o...
EMO
2001
Springer
109views Optimization» more  EMO 2001»
13 years 8 months ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
CEC
2005
IEEE
13 years 10 months ago
A model-based evolutionary algorithm for bi-objective optimization
Abstract- The Pareto optimal solutions to a multiobjective optimization problem often distribute very regularly in both the decision space and the objective space. Most existing ev...
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K....
GECCO
2007
Springer
176views Optimization» more  GECCO 2007»
13 years 10 months ago
Two-level of nondominated solutions approach to multiobjective particle swarm optimization
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
M. A. Abido
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
13 years 10 months ago
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover
Multiobjective optimization problems with many local Pareto fronts is a big challenge to evolutionary algorithms. In this paper, two operators, biased initialization and biased cr...
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sen...