The optimization problem has been solved by particle swarm optimization (PSO) algorithm, by introducing a penalty factor for the accuracy constraint. Results and corresponding analysis show that when the penalty factor is big enough, especially when it tends to positive infinity, the optimized time ...
Multi-Objective WindFarm Optimization Simultaneously Optimizing COE and Land Footprint of Wind Farms under Different Land Plot Availability This paper makes important advancements to a Particle Swarm Optimization (PSO) algorithm that seeks to address the major complex attributes of engineering optimization ...
In our previous work, we implemented a Particle Swarm Optimization (PSO) and Hill Climbing (HC) based hybrid simulation system, called WMN-PSOHC, and a simulation system based on Genetic Algorithm (GA), called WMN-GA. Then, we implemented a hybrid simulation system based on PSOHC and ...
Global green chemistry metrics analysis algorithm and spreadsheets: Evaluation of the material efficiency performances of synthesis plans for oseltamivir phosphate (tamiflu) as a test case. Org. Proc. Res. Dev. 2009, 13, 161–185. [CrossRef] 21. Harmer, M.A.; Sun, Q. Solid acid catalysis ...
The mass tolerance (mass accuracy) parameter is the basis by which the ApexTrack algorithm determines the regions of interest in the m/z domain, whereas the intensity threshold parameter is used in the peak removal step, defining the resultant noise level and redundancy in the data matrix. ...