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» On Set-Based Multiobjective Optimization
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PIMRC
2010
IEEE
15 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...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 10 months ago
Methodology to select solutions from the pareto-optimal set: a comparative study
The resolution of a Multi-Objective Optimization Problem (MOOP) does not end when the Pareto-optimal set is found. In real problems, a single solution must be selected. Ideally, t...
José C. Ferreira, Carlos M. Fonseca, Ant&oa...
ICCS
2004
Springer
15 years 10 months ago
Data Driven Design Optimization Methodology Development and Application
The Data Driven Design Optimization Methodology (DDDOM) is a Dynamic Data Driven Application System (DDDAS) developed for engineering design optimization. The DDDOM synergizes expe...
H. Zhao, D. Knight, E. Taskinoglu, V. Jovanovic
ATAL
2005
Springer
15 years 10 months ago
A decentralized bargaining protocol on dependent continuous multi-issue for approximate pareto optimal outcomes
Negotiation techniques have been demonstrated to be effective in solving complex multi-objective problems. When the optimization process operates on continuous variables, it can b...
Nicola Gatti, Francesco Amigoni
ECAL
2001
Springer
15 years 9 months ago
Pareto Optimality in Coevolutionary Learning
We develop a novel coevolutionary algorithm based upon the concept of Pareto optimality. The Pareto criterion is core to conventional multi-objective optimization (MOO) algorithms....
Sevan G. Ficici, Jordan B. Pollack