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.

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This paper presents a Harmony Search Optimization (HSO) based design methodology for maximizing both the starting torque and the efficiency of Induction Motor (IM). HSO is inspired the musical process of searching for a perfect state of harmony. The harmony in music is analogous to the optimization solution vector, and the musician's improvisations are analogous to local and global search schemes in optimization techniques. Among the number of design variables of the IM, seven variables are identified as primary design variables and the HSO based design methodology is tailored to optimize the chosen primary variables with a view to obtain the global best design. The optimal design obtained by the developed methodology for two IMs are presented with a view of illustrating the superiority.