Genetic Algorithms-Engineering
Stullia
results.
You may see our new solutions and results for
Structural Mechanics, Neural Networks, Irrigation, Water Supply, Theory of
Elasticity
with download of program’s demo versions
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Structural Mechanics:
A genetic algorithm approach is used for optimum design of 3D and 2D frames
so as to minimize the weight of the structure with anaglyph stereo view of
results.
Finite Element method is used with finite deflections of hinges and
stability analysis of the whole structure.
Shape of frame, number and position of hinges are defined during evolution.
Special loads: self-weight, wind and wave (important for derricks and
offshore platforms) are available with any number forbidden areas to get
necessary restrictions on shapes.
Neural Networks:
Optimal Design of Material Objects - design and train Neural Networks (NN)
with Genetic Algorithms (GA),
find optimal solution for multiobjective problem on base of NN with GA and
on the base of micro-GA for a very small population of material objects with
experimental results for every generation - direct measurements in the real
world are used.
Tools to search for new materials and technological processes on base of
laboratory measurements in evolutionary process.
Irrigation Pumping Stations - optimal design and operation that result in
minimum design and operating cost.
Water Supply Pumps Schedule - optimization of a pump scheduling system so as
to minimize the cost of pumping. Each pump may have its own characteristics.
Theory of Elasticity:
Pumps in oil and gas industries for turbo drill driving. Initial optimum
configuration of a piston cup for long life operation.
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