Title :
Bio-inspired algorithms for query optimization in biological databases
Author :
Melita, L. ; Ganapathy, Gopinath ; Prakash, P.
Author_Institution :
Dept. of Comput. Sci., Jimma Univ., Jimma, Ethiopia
Abstract :
Despite of the numerous research efforts on distributed query processing, the complexity of the problem has been little solved which paves way for the exploration on the solution of the problem. However, due to its inherent difficulty, the complexity of the majority of problems on distributed query optimization remains unknown. In this paper, we analyze and present the problems identified and the possible algorithms used for solving them. The higher probability of problem solving nature of the Bio-inspired Algorithms has been projected with a Comparative Study on literature proof and as a result a proposal for Query Optimization on Biological Databases is introduced.
Keywords :
biology computing; distributed databases; query processing; bio-inspired algorithms; biological databases; distributed query optimization; distributed query processing; Biology; Databases; Equations; Gallium; Optimization; Probabilistic logic; Usability; Bio-Computing; Memetic Algorithms; Query Optimization;
Conference_Titel :
Computer Technology and Development (ICCTD), 2010 2nd International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8844-5
Electronic_ISBN :
978-1-4244-8845-2
DOI :
10.1109/ICCTD.2010.5645824