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» A New Parallel Genetic Algorithm
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IJCNN
2007
IEEE
14 years 3 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
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
2006
Springer
155views Optimization» more  GECCO 2006»
14 years 16 days ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
14 years 2 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
GECCO
2005
Springer
148views Optimization» more  GECCO 2005»
14 years 2 months ago
Multiobjective VLSI cell placement using distributed genetic algorithm
Genetic Algorithms have worked fairly well for the VLSI cell placement problem, albeit with significant run times. Two parallel models for GA are presented for VLSI cell placemen...
Sadiq M. Sait, Mohammed Faheemuddin, Mahmood R. Mi...