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» Using Genetic Algorithms for Solving Hard Problems in GIS
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CEC
2009
IEEE
14 years 3 months ago
Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems
— In this paper, the performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on a set of bound-constrained synthetic test problems is reported. The hybr...
Santosh Tiwari, Georges Fadel, Patrick Koch, Kalya...
GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
IPPS
2009
IEEE
14 years 3 months ago
A parallel hybrid genetic algorithm-simulated annealing for solving Q3AP on computational grid
In this paper we propose a parallel hybrid genetic method for solving Quadratic 3-dimensional Assignment Problem (Q3AP). This problem is proved to be computationally NP-hard. The ...
Lakhdar Loukil, Malika Mehdi, Nouredine Melab, El-...
GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
14 years 2 days ago
Domain Knowledge and Representation in Genetic Algorithms for Real World Scheduling Problems
This paper discusses the issues that arise in the design and implementation of an industrialstrength evolutionary-based system for the optimization of the monthly work schedules f...
Ioannis T. Christou, Armand Zakarian
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
14 years 2 months ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont