Structural
Mechanics, Neural Networks, Irrigation, Water Supply, Theory of Elasticity
with description of models and examples for real tasks with demo versions
of programs for download
Design and train Neural Network (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 study for every generation - direct measurements in
the real world are used.
Experiment Forecast with NN and GA - prediction of experimental results
without models and hypotheses on the basis of two databases: “past”
and “present”.
Tools
to search for new materials and technological processes on base of
laboratory measurements.
A genetic algorithm approach is
used to generate space structures and to optimize space frames so as to
minimize the weight or price of the structure.
Examples are shown for different frames.
Anaglyph stereo view of results is available.
Program FrameGA 3D with examples for demo program download.
A genetic algorithm approach is
used to generate structures and to optimize trusses so as to minimize the
weight of the structure. Examples are shown for different trusses. Program FrameGA
with examples for demo program download.
A
genetic algorithm approach is used for the optimal design and operation of
irrigation pumping stations that result in minimum design and operating
cost. Program
WAPIRRA with examples for demo program download.
A
genetic algorithm approach is used for optimization of a pump scheduling
system so as to minimize the cost of pumping over a 24-hour period. Program
WPCY with examples for demo program download.