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CEC
2008
IEEE
16 years 25 days ago
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 10 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
STACS
2004
Springer
15 years 11 months ago
Desert Automata and the Finite Substitution Problem
d Abstract)⋆⋆ Daniel Kirsten LIAFA, Universit´e Denis Diderot – Case 7014, 2 place Jussieu, F-75251 Paris Cedex 05, France We give a positive solution to the so-called fini...
Daniel Kirsten
EVOW
2008
Springer
15 years 8 months ago
A Hybrid Column Generation Approach for the Berth Allocation Problem
Abstract. The Berth Allocation Problem (BAP) consists on programming and allocating ships to berthing areas along a quay. The BAP is modeled as a vehicle routing problem and a rece...
Geraldo R. Mauri, Alexandre C. M. Oliveira, Luiz A...
MOC
2002
98views more  MOC 2002»
15 years 6 months ago
Avoiding the order reduction of Runge-Kutta methods for linear initial boundary value problems
Abstract. A new strategy to avoid the order reduction of Runge-Kutta methods when integrating linear, autonomous, nonhomogeneous initial boundary value problems is presented. The s...
Mari Paz Calvo, Cesar Palencia