Suboptimization Approach and Ethical Dilemma

Suboptimization applies when there is a parameter discrepancy between Global and Local Variables. The solution is a modification of Local Variables according to Algorithms beyond the Global Variables Structure.

Suboptimization applies when Local Variables can scarcely execute activities according to algorithms beyond Global Variables. Besides, Local Variables hardly respond to the complexity of Local Layers incidents and innovation models.

Suboptimization is always cost-effective, saves time, creates a fast affiliate turning point, and is easy to perform. However, it would retrieve poor quality properties, low accountability, and respond in related inconsistency. Economy perspectives and ROI may urge Systems Owners to conduct suboptimizations in Non-Biological Systems and project management processes. Suboptimization can be optimal for a trivial subcomponent, which may hardly interact with the rest of the System Platform.

 

Observation:

Systems Owners can sometimes perform the total optimization through synergy solutions with system competitors due to the complexity levels of suboptimization approaches.

 

Observation:

Total optimization, complete consolidation, and synchronization with system competitors might be possible when Biological System Values prioritize all Global Variables in Non-Biological Systems.

Parameter Criteria on the Optimization Process, complete consolidation, and synchronization would eliminate a Suboptimization Pattern.

Systems Owners and System Competitors would barely have confidential work performances due to being vulnerable in a relationship. Therefore, Systems Owners prefer to apply Suboptimization.

 

Observation:

Partial Consolidation between Systems Owners and system competitors could be more reliable for the quality of the Optimization Process.

 

Observation:

Systems Owners conduct Suboptimizations for Biological Systems, although the outcomes show Breakdown Mode. Suboptimization may hardly be an optimal strategy because Suboptimization can reduce Harmonic Balance in Non-Biological Systems. However, Systems Owners execute Suboptimizations due to cost savings in System Platforms.

Evolutionary Breakdown of Biological Systems

                                                                          

Biological Systems create chaos and drama out of everyday situations in Non-Biological Systems due to Evolutionary Breakdown caused by the failure of Global Variables. Systems Owners may barely test Global Variables Modifications in Biological Systems on the evolutionary path of life. The impact of psychological issues on Biological Systems in Social Contexts is unpredictable.

Biological Systems create chaotic situations in Non-Biological Systems due to evolutionary breakdowns, which are caused by weak Global Variables in Non-Biological Systems. Systems Owners may not ensure an equity-based approach and the social consistency role. When incidents occur in society, Public Media and Experts pay attention to red flags and the dramatic scenarios over an extensive range of breakdown and uncertainty status for a particular Biological System. However, the source of the breakdown mode would not be evaluated on the system platform. The investigation costs and confidentiality due to professional secrecy prevent inquiries or incident reports. Media reflects superficial layers of occurrence to communities and the public on level 8 (Fig 1). Experts scrutinize and discuss parameters on breakdown mode and uncertainty perceptions. The diagnostic assessment of breakdown mode focuses on level 4. Risk assessment guidelines on levels 3 and 2 would not publish or discuss issues because of system accountability.

The breakdown patterns in Biological Systems can remain mysteriously unsolved in operational systems.

The same chaotic patterns and random crises may occur again across the system framework. System Controllers try to pursue and iterate over the same process during the examination. The same common strategy mistake shows operative complexity beyond incidents. The critical parameters would not be digested accurately in the structural analysis of Global Variables. Irreversible sub-optimization would perform and save costs on system activity in the short-term phase. Suboptimization is cost-effective and brings the best possible profits; however, critical entities eliminate unethically on System Platforms temporarily or permanently. Some parameters on level 3 are thread instances of Global Variables. Modifying processing parameters on level 3 is against Secret Algorithms beyond Global Variables; therefore, experts may be reluctant to examine complex parameters. The main known issues behind Biological Systems can remain unsolved in operational systems.