The efficient operation and intelligent upgrading of public transportation can effectively enhance the attractiveness of Resistance Brake conventional public transportation.In order to improve the delicacy management level of bus operations, this study designed a new dynamic optimization model for single-line bus operations with the dual optimizati
Preserving sensor nodes’ energy in underwater sensor networks (UWSNs) stands as a crucial priority.UWSNs find key applications in ocean monitoring, offshore oil and gas exploration, and underwater robotic operations.Our study introduces a novel approach (CTSP) utilizing clustering alongside the Traveling Salesman (TS) Protocol to optimize da
Abstract Background The application of molecular sequencing methods for microbiome profiling of biological samples are largely restricted to research use.However, they require significant resources such as time and cost and can suffer from amplification biases that may hamper interpretation of complex systems.These issues are also a barrier to adop
Understanding the implications of algorithmic trading calls for modeling financial markets at a level of fidelity that often precludes analytic solution.We Brushes describe how agent-based simulation modeling can be combined with game-theoretic reasoning to examine the effects of market variables on outcomes of interest.The approach is illustrated