most citedNew Hoopoe Heuristic Optimization

9 citations · 19 across the 10 of their papers we have counts for

collaborators

10 papers

cs.NE20123 cited

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…

cs.NI2012

New SpiroPlanck Heuristics for High Energy Physics Networking and Future Internet Testbeds

M. A. El-Dosuky, M. Z. Rashad, T. T. Hamza +1

The need for data intensive Grids, and advanced networks with high performance that support our science has made the High Energy Physics community a leading and a key co-developer…

cs.AI2012

Improving problem solving by exploiting the concept of symmetry

M. A. El-Dosuky, M. Z. Rashad, T. T. Hamza +1

We investigate the concept of symmetry and its role in problem solving. This paper first defines precisely the elements that constitute a "problem" and its "solution," and gives se…

cs.NE2012

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…

cs.HC2012

New Heuristics for Interfacing Human Motor System using Brain Waves

Mohammed El-Dosuky, Ahmed EL-Bassiouny, Taher Hamza +1

There are many new forms of interfacing human users to machines. We persevere here electric mechanical form of interaction between human and machine. The emergence of brain-compute…

cs.NE20129 cited

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…