9 citations · 23 across the 17 of their papers we have counts for
4 papers · 1 filter
CACO : Competitive Ant Colony Optimization, A Nature-Inspired Metaheuristic For Large-Scale Global Optimization
M. A. El-Dosuky
Large-scale problems are nonlinear problems that need metaheuristics, or global optimization algorithms. This paper reviews nature-inspired metaheuristics, then it introduces a fra…
Collaborating Robotics Using Nature-Inspired Meta-Heuristics
M. A. El-Dosuky, M. Z. Rashad, T. T. Hamza +1
This paper introduces collaborating robots which provide the possibility of enhanced task performance, high reliability and decreased. Collaborating-bots are a collection of mobile…
Spike and Tyke, the Quantized Neuron Model
M. A. El-Dosuky, M. Z. Rashad, T. T. Hamza +1
Modeling spike firing assumes that spiking statistics are Poisson, but real data violates this assumption. To capture non-Poissonian features, in order to fix the inevitable inhere…
New Hoopoe Heuristic Optimization
Mohammed El-Dosuky, Ahmed EL-Bassiouny, Taher Hamza +1
Most optimization problems in real life applications are often highly nonlinear. Local optimization algorithms do not give the desired performance. So, only global optimization alg…