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GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
15 years 3 months ago
On the possibility to create a compatible--complete unary comparison method for evolutionary multiobjective algorithms
There are several studies on the desirable properties that a performance measure for evolutionary multiobjective algorithms must have. One of these properties is called “compati...
Giovanni Lizárraga Lizárraga, Arturo...
EVOW
2008
Springer
15 years 3 months ago
A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems
This paper introduces a hybrid Tabu Search - Evolutionary Algorithm for solving the binary constraint satisfaction problem, called CTLEA. A continuation of an earlier introduced al...
Bart G. W. Craenen, Ben Paechter
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
15 years 3 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...
CEC
2008
IEEE
15 years 8 months 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...
CEC
2007
IEEE
15 years 8 months ago
Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods
— Hypervolume based multiobjective evolutionary algorithms (MOEA) nowadays seem to be the first choice when handling multiobjective optimization problems with many, i.e., at lea...
Dimo Brockhoff, Eckart Zitzler