The complexity in real-world problems motivated researchers to innovate efficient problem-solving techniques. Generally  natural Inspired, Bio Inspired, Metaheuristics based on evolutionary computation and swarm intelligence algorithms have been frequently used for solving complex, real-world optimization and Non-deterministic polynomial hard (NP-Hard) problems because of their ability to adjust to variety of conditions. This paper shows an overview for swarm based algorithm that based on ant behavior. The first algorithm that inspired ant behavior in search for food source was developed in 1992 and was tested in solving TSP problem  Ant Colony Optimization  (ACO) is a metaheuristic inspired by some ant species' pheromone trail laying and following behavior. Artificial ants in ACO are stochastic solution construction processes that use (artificial) pheromone information that is modified depending on the ants' search experience and possibly accessible heuristic information to generate candidate solutions for the problem instance under consideration. Many notable research achievements have been gained since the proposal of the Ant System, the first ACO algorithm. These contributions concentrated on the creation of high-performance algorithmic variants, the creation of a generic algorithmic framework for ACO algorithms, the successful application of ACO algorithms to a wide range of computationally difficult problems, and the theoretical understanding of ACO algorithm properties. Since the appearance of ACO many modifications for improving the performance of the algorithm and has been applied to various Applications in several fields. At the end of this paper, the improvements are listed  

Effective records management program is a major element of the governance of any organization. Based from the surveys, the Northwest Samar State University was not fully aware on how to do about the implementation of this act, National Archives of the Philippines Act of 2007 (R.A 9470). The university was still relying from the university code for the records management provisions. This study was undertaken to develop and validate the acceptability of the developed University Electronic Records Management System (UeRMS) for Northwest Samar State University as perceived by the computer experts, school officials, teaching personnel and non- teaching personnel. Thus, the idea and assessment of the respondents towards the design of the system is very critical. Upon validating the developed system, they observed that it was much faster to search records compared to manual process.