00000ctmaa22000003a 4500 UP-1685675941123923272 Buklod 20151012112410.0 aa rb |||1 u| ta 151012s xx d r |||| u| (iLib)UPTAC-00017720376 UPVTC eng LG 993.5 2011 C66 D34 Daga, Ryan Rey M. author. HarmoZip image compression using Harmony Search Algorithm Ryan M. Daga; John Paul T. Yusiong, adviser. 2011. [4], 85 leaves illustrations. Undergraduate thesis (B.S. Computer Science) -- University of the Philippines, Tacloban. Image compression has been beneficial in data storage and image transmission through the Internet. It eliminates redundant data thus minimizing the physical space requirements. Numerous types of image compression software have been developed but the resulting image is less than the optimal. A lot of real-world problems require optimization and the discovery of an optimum solution is not always guaranteed. One approach to solve these problems is by using heuristics and a new development of this method called meta heuristics. These optimization algorithms require some level of randomness to search for the optimal solution. Harmony search algorithm (HSA), a relatively new meta heuristic optimization algorithm inspired by the music improvisation process of musicians, is applied as an underlying algorithm in image compression. Experiment results show that it is feasible to use the harmony search algorithm as an underlying algorithm in image compression. It was able to compress different image types (colored and grayscale) and images with different dimensions. Comparing with the results of hybrid PSO-GA, HSA was able to perform better in terms of quality. Harmony Search Algorithm. Meta heuristic. Image compression. Yusiong, John Paul T. adviser. FI UP UPTAC UPTAC LG 993.5 2011 C66 D34 Thesis