Browsing by Author "T, Amudha"

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    RELATIVE STUDY OF CGS WITH ACO AND BCO SWARM INTELLIGENCE TECHNIQUES
    (International Journal of Computer Technology & Applications (IJCTA), 2012-09) T, Hashni; T, Amudha
    Swarm intelligence is the collective-level, problem-solving behavior of groups of relatively simple agents. Local interactions among agents, either direct or indirect through the environment, are fundamental for the emergence of swarm intelligence. Ant Colony Optimization (ACO) is a swarm based meta-heuristic method that is inspired by the behavior of real ant colonies. Bee Colony Optimization (BCO) meta-heuristic belongs to the groupof Swarm Intelligence techniques. Consultant Guided Search (CGS) is a new hybrid meta heuristic, which combinesnew ideas with concepts found in Ant colony Optimization (ACO), Bee Colony Optimization (BCO) technique. Thispaper presents comparative study of CGS, ACO, BCO techniques and the flexibility of CGS.
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    SOFTWARE AGENT BASED SCHEDULING IN GRID COMPUTING-A BRIEF STUDY
    (Department of Statistics, Bharathiar University, 2010-12-21) T, Amudha; T, Hashni; P, Deepan Babu
    Grid computing is the combination of computer resources multiple administrative domains to achieve a common goal. Gird computing (or the use of a computational grid) is applying the resources of many computers in a network to a single problem at the same time- usually to a scientific or technical problem that requires a great number of computer processing cycles or access to large amounts of data. A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive and inexpensive access to high-end computational capabilities. A software agent is a piece of software that acts for user or other program in a relationship of agency. Such “action on behalf of “implies the authority to which action is appropriate. Schedulers are types of applications responsible for management of jobs, such as allocating resources needed for any specificjob, partitioning of jobs to schedule parallel execution of tasks. A Software agent is a scheduler, evaluates the services level requirements of jobs and allocate to the respective resources. This paper presents an introduction to agent-based scheduling in grid computing for resources allocation.
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    SOLVING QUADRATIC ASSIGNMENT PROBLEMS USING A HYBRID NATURE-INSPIREDTECHNIQUE
    (International Journal of Current Research (IJCR), 2012-02) T, Hashni; T, Amudha
    Nature provides motivation to scientists in many ways. Scientists have started to realize that nature is a great source ofinspiration to develop intelligent systems and techniques. Nature- Inspired algorithms is a kind of algorithms that imitate theproblem-solving behavior from nature. Consultant Guided Search algorithm (CGS) and Genetic algorithm (GA) are some of theNature-Inspired Metaheuristic Algorithms inspired from Nature. In this paper, Consultant Guided Search algorithm (CGS) washybridized with Genetic algorithm (GA) and a new technique was proposed. The proposed Consultant Guided Search – Geneticalgorithm (CGS-GA) was implemented to solve the benchmark instances of Quadratic Assignment Problem (QAP). Theperformance of the proposed CGS-GA was compared with CGS algorithm. Results have shown that the proposed CGS-GA hasoutperformed CGS in arriving at improved optimal solutions for various test instances of Quadratic Assignment Problem