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An Algorithm for Structural Optimization of Intelligent Radio Communication System
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DOI：10.3390/asi9070155.png)
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Abstract
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This article develops a structural optimization algorithm for designing intelligent and adaptive radio communication systems. In modern tactical crisis operations characterized by high environmental dynamics and intense electromagnetic countermeasures, as well as in emergency response networks, static communication planning approaches prove increasingly ineffective. The paper introduces a stable normalization method for performance estimates and a mechanism for rapid algorithmic adaptation to shifting operational priorities. A key feature of the proposed approach is an adaptive objective function based on the weighted sum of normalized criteria for survivability, noise immunity, and reliability. The use of weighting coefficients enables rapid adjustment of optimization priorities in response to extreme conditions, whilst the application of a normalization method based on threshold values ensures the stability and comparability of evaluations. It is practical that the proposed algorithm will enable the synthesis of functionally stable and robust structures, thereby enhancing the reliability of command and control of forces and assets in both mission-critical operations and civil crisis situations.
Keywords:
radio communication
genetic algorithm
optimal structure
objective function
intelligent radio communication system
adaptive network
emergency management
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