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GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
14 years 4 months ago
Alternative techniques to solve hard multi-objective optimization problems
In this paper, we propose the combination of different optimization techniques in order to solve “hard” two- and threeobjective optimization problems at a relatively low comp...
Ricardo Landa Becerra, Carlos A. Coello Coello, Al...
CDC
2008
IEEE
167views Control Systems» more  CDC 2008»
14 years 7 days ago
Convex formulations of aggregate network air traffic flow optimization problems
The problem of regulating air traffic in the en route airspace of the National Airspace System is studied using an Eulerian network model to describe air traffic flow. The evolutio...
Daniel B. Work, Alexandre M. Bayen
UAI
2003
13 years 11 months ago
Monte-Carlo optimizations for resource allocation problems in stochastic network systems
Real-world distributed systems and networks are often unreliable and subject to random failures of its components. Such a stochastic behavior affects adversely the complexity of o...
Milos Hauskrecht, Tomás Singliar
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 11 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...
INFORMATICALT
2010
49views more  INFORMATICALT 2010»
13 years 8 months ago
Interval Arithmetic Based Optimization in Nonlinear Regression
The optimization problems occurring in nonlinear regression normally cannot be proven unimodal. In the present paper applicability of global optimization algorithms to this problem...
Antanas Zilinskas, Julius Zilinskas