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True
Optimization will produce the best or "exact" solution,
where no better solution is possible, for any given number of sets
of data, objectives, and constraints.
New technologies that EFL has recently developed can
determine the optimal solutions with only one exact solution (with
no iterations required) and dramatically reduce the amount of
computer storage and memory required. Our technology uses the
"Exact Optimization Process" (EOP). In fact, the entire family
of optimal solutions for varying system parameters can be exactly
calculated with only one computer process. This family of optimal
solutions based on a range of system parameters can be called the
Optimal System Curve (OSC).
Read the enclosed article for additional information and
descriptions of these optimization
processes.
This next generation of optimization described in
this Website is specifically for pipeline system designs. However, these optimization
techniques can definitely be applied to all areas of engineering,
science, business and every aspect of decision making.
This Website will introduce this technology into the market
place and demonstrate how it applies to pipeline system
designs. All other
potential applications are reserved for future
computer software development.
Our optimization
services have mainly been applied to engineering designs of
water conveyance systems through Future Engineering Technology Group
(FETG), but potentially are applicable to every aspect of
your life. A few of the potential applications include true
optimization of games, investments, budgets, time management,
airline scheduling, and artificial intelligence. Also,
the future development of real-time optimization techiques
and computer software services are possible.
As demonstrated with the proposed
solution of the Millennial Math Problem of P vs. NP, we have
displayed a sample setup and solution in this Website. Not
only do we believe that we have solved the P vs. NP problem, but we
have shown a sample of the additional solution of the next problem
step after the P vs. NP solution. This additional
solution involves practical applications using weighted or preferred
factors, such as constraints for male with female,
smoking with non-smoking, grade point averages, etc. in
determining room assignments. Also, a few examples of how this
same technology can be expanded to potential uses in business
and medicine, such as allocation of hotel rooms, hospital
rooms, and human organ donation
assignments.
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