Sciweavers

GECCO
2008
Springer
159views Optimization» more  GECCO 2008»
13 years 6 months ago
IGAP: interactive genetic algorithm peer to peer
We present IGAP, a peer to peer interactive genetic algorithm which reflects the real world methodology followed in team design. We apply our methodology to floorplanning. Throu...
Juan C. Quiroz, Amit Banerjee, Sushil J. Louis
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 6 months ago
Testing parallelization paradigms for MOEAs
In this paper, we report on our investigation of factors affecting the performance of various parallelization paradigms for multiobjective evolutionary algorithms. Different paral...
Sadeesha Gamhewa, Philip Hingston
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 6 months ago
Coordinate change operators for genetic algorithms
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H...
GECCO
2008
Springer
199views Optimization» more  GECCO 2008»
13 years 6 months ago
Analysis of multi-objective evolutionary algorithms to optimize dynamic data types in embedded systems
New multimedia embedded applications are increasingly dynamic, and rely on Dynamically-allocated Data Types (DDTs) to store their data. The optimization of DDTs for each target em...
José Ignacio Hidalgo, José L. Risco-...
GECCO
2008
Springer
154views Optimization» more  GECCO 2008»
13 years 6 months ago
Genetic algorithms for self-spreading nodes in MANETs
We present a force-based genetic algorithm for self-spreading mobile nodes uniformly over a geographical area. Wireless mobile nodes adjust their speed and direction using a genet...
Cem Safak Sahin, Elkin Urrea, M. Ümit Uyar, M...
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 6 months ago
Hierarchical evolution of linear regressors
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
Francesc Teixidó-Navarro, Albert Orriols-Pu...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 6 months ago
A parallel evolutionary algorithm for unconstrained binary quadratic problems
In this paper an island model is described for the unconstrained Binary Quadratic Problem (BQP), which can be used with up to 2500 binary variables. Our island model uses a master...
István Borgulya
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 6 months ago
AMGA: an archive-based micro genetic algorithm for multi-objective optimization
Santosh Tiwari, Patrick Koch, Georges Fadel, Kalya...
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
13 years 6 months ago
Single-objective front optimization: application to rf circuit design
This paper proposes a new algorithm which promotes well distributed non-dominated fronts in the parameters space when a single-objective function is optimized. This algorithm is b...
Eduardo José Solteiro Pires, Luís Me...