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GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
13 years 8 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
AUTOMATICA
2007
79views more  AUTOMATICA 2007»
13 years 7 months ago
Global nonlinear output regulation: Convergence-based controller design
In this paper we present output-feedback controllers solving the global output regulation problem for a class of nonlinear systems. The proposed controllers are based on the notio...
Alexey V. Pavlov, Nathan van de Wouw, Henk Nijmeij...
EVOW
2007
Springer
14 years 1 months ago
Tackling the Container Loading Problem: A Hybrid Approach Based on Integer Linear Programming and Genetic Algorithms
Abstract. This paper presents a novel hybrid approach for solving the Container Loading (CL) problem based on the combination of Integer Linear Programming (ILP) and Genetic Algori...
Napoleão Nepomuceno, Plácido Rog&eac...
ENGL
2007
121views more  ENGL 2007»
13 years 7 months ago
A Comparison between Genetic Algorithms and Evolutionary Programming based on Cutting Stock Problem
—Genetic Algorithms (GA) and Evolutionary Programming (EP) are two well-known optimization methods that belong to the class of Evolutionary Algorithms (EA). Both methods have gen...
Raymond Chiong, Ooi Koon Beng
ESA
2010
Springer
162views Algorithms» more  ESA 2010»
13 years 7 months ago
Solving an Avionics Real-Time Scheduling Problem by Advanced IP-Methods
We report on the solution of a real-time scheduling problem that arises in the design of software-based operation control of aircraft. A set of tasks has to be distributed on a min...
Friedrich Eisenbrand, Karthikeyan Kesavan, Raju S....