In this paper, a novel method of optimizing the control parameters in the automatic carrier landing system of F/A-18A is developed, which is based on simplified Brain Storming Optimization (BSO) algorithm.
It has applied its integrated technologies for comprehensive rehabilitation and optimization of sewage systems, storm water and urban runoff control, and river remediation, having significantly improved the water quality in Hefei and Chaohu.
Statistical TOtal Correlation SpectroscopY (STOCSY) has been used to recover structural metabolic information, and its extension, SubseT Optimization by Reference Matching (STORM), utilizes an iterative selection of homogeneous subsets of spectra to improve structural elucidation by reducing variation across inhomogeneous spectral data sets.
Next, such index is minimized via four different intelligent optimization algorithms: differential evolution, brain storm, cuckoo search, and harmony search.
This paper presents a two-stage optimization framework to find an optimal scheme for storage tanks using storm water management model (SWMM).
First, when we build the Storm topology using POS, we need more elaborated optimization strategy-based cost analysis.
The effectiveness of LIDs was investigated in a highly urbanized watershed located in Austin, TX. Results indicate that the performance of LIDs is sensitive to LID configurations, application areas, and storm event characteristics, suggesting the need for studies on spatial optimization of LIDs and critical storm events to maximize the utility of LIDs.
This study aims to develop a simulation-based optimization model applicable to mitigate hazardous floods in storm events in a watershed which consists of a complex channel network and irregular topography.
In this paper, an interfacing Visual Basic (VB) programming tool with a SWMM (Storm Water Management Model) DLL for hydraulic and hydrological computation in sewer network completes the optimization routine.
