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CEC
2007
IEEE
16 years 1 months ago
The application of evolutionary multi-criteria optimization to dynamic molecular alignment
— This study introduces the multi-criteria approach to the optimization of dynamic molecular alignment by shaped femtosecond laser pulses, which has been considered so far only a...
Ofer M. Shir, Michael Emmerich, Thomas Bäck, ...
GCC
2003
Springer
16 years 1 days ago
An Evolutionary Constraint Satisfaction Solution for over the Cell Channel Routing
A novel combination of genetic algorithms and constraint satisfaction modelling for the solution of two and multi-layer over-thecell channel routing problems is presented. The two ...
Ahmet Ünveren, Adnan Acan
IJCAI
1993
15 years 8 months ago
Evolutionary Learning Strategy using Bug-Based Search
We introduce a new approach to GA (Genetic Algorithms) based problem solving. Earlier GAs did not contain local search (i.e. hill climbing) mechanisms, which led to optimization d...
Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisu...
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
15 years 7 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
PPSN
2004
Springer
16 years 5 days ago
A Hybrid GRASP - Evolutionary Algorithm Approach to Golomb Ruler Search
We consider the problem of finding small Golomb rulers, a hard combinatorial optimization task. This problem is here tackled by means of a hybrid evolutionary algorithm (EA). This...
Carlos Cotta, Antonio J. Fernández