Algorithms of Harmonic Balance need to articulate and encapsulate beyond
Global Variables because of higher cohesion and efficiency in Biological
Systems. The harmonic establishment is one of the most cost-effective
strategies that protect and boost Biological
Systems against Invisible Entities Aggression. Algorithms beyond Harmonic
Balance can promote productivity in system performances and improve social
behavior patterns. Add designated algorithms can prevent the demand generation
of Invisible Entities and attenuate exponentially against structural
complexities, which appear on the evolutionary path of either system operations
or activities.
One of the substantial algorithms of Harmonic Balance
is the closed-loop feedback process. It reduces overhead costs and extreme
austerity measures in Non-Biological and Biological Systems. A Closed-loop
feedback process as an indispensable algorithm in Harmonic Balance can be implemented through Input Channels. It plays a
fundamental role in restoring a harmonious balance.
The feedback process can modify and ensure resilient Non-Biological
Systems as follows.
1- Unlocking Error Codes through Systematic Control.
2- High Attention to Code Execution.
3- Dynamic interactions with whole layers.
4- Divergence with Convergence Diagnosis for Harmonic Performances.
5- Update algorithm parameters according to Global
Structure to minimize Random Breakdowns and Unexpected Expenses.
Observation:
According to experimental observations with goldfishes for three years,
parameters of harmonic balance have been generated in goldfishes by gaining
attention to environmental factors and dynamic interactions. Goldfishes live
longer and happier than those other goldfishes without parameters of harmonic
balance. Gestural exchanges and eye contact in
dynamic interactions imply closed-loop Feedback.
Observation:
Missing to articulate a Feedback Process on automating
parameters within Global Variables urges Non-Biological Systems to develop in
the waterfall life cycle model.
The iterative life cycle model creates comprehensive
solutions for bugs on the evolutionary path of system performances. Systems
Owners have better economic awareness of system environments and more
perspective on Harmonic Balance for Biological Systems. However, implementing
the life cycle model requires extra time and asset allowance. It is
cost-effective to implement the iterative life cycle model in Non-Biological
Systems.