Abstract: Particle swarm optimization (PSO) is a well-known and popular swarm intelligence algorithm. The inertia weight of a PSO plays the crucial role in the ability of exploration and exploitation. Many strategies for adapting the inertia weight of PSO have been proposed. In this study, we use two inertia weights to improve the global and local search of PSO. Nine benchmark functions with 10 dimensions for unimodal functions, multimodal functions with many local optima, and multimodal functions with a few local optima is used as the test functions. We compare two inertia weight PSOs with the proposed method. The results show the proposed method is useful for improve the search ability of PSO.

• Publication Date: 29-Dec-2015
• DOI: 10.15224/978-1-63248-084-2-33
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Abstract: This research’s objective is to develop methods of testing the sensitivity of bacteria to various antibiotics using quantitative assessment of DNA during log phase with UV-Vis Spectroscopy. Methods used, samples of pathogenic E. coli bacteria after cultured in broth solution containing Ciprofloxacin for 7 hours were taken for DNA extraction technique. The isolated DNA was then quantitatively calculated based on light absorbance on UV-Vis spectrophotometer, where the values of absorbance density was converted into the concentration of DNA/ml. As a control arm of this study, the equal sample of pathogenic E. coli bacteria were cultured in broth solution without antibiotic. Results: The DNA concentration from 15 samples of E. coli in broth culture solution containing antibiotic solution was 7.3 ± SD 2.28 ; whereas the DNA concentration in the control group was 10.3 ± SD 2.51 which was significant different (p. = 0. 000). This test was compared with conventional sensitivity test using disc

• Publication Date: 29-Dec-2015
• DOI: 10.15224/978-1-63248-084-2-34
• Views: 0
• Downloads: 0