Inversion of 1D VES Data Using New a Technique Called Recursive Ant Colony Optimization (RACO)

In this abstract a new algorithm is proposed named Recursive Ant Colony Optimization (RACO) for inversion of 1D VES data. RACO is derived from a more general global technique known as Ant Colony Optimization (ACO). In this new algorithm, results obtained from first run (first depth) are fed to next run (next depth) which is called recursion. The level of recursion of the process is defined by the term “depth” and hence directly affects the accuracy of the results. Advantage of using the recursion in this algorithm is that the convergence of the problem becomes exponential which is linear in ACO thus this approach become different from its general form. This code is written in C++ which makes it more time efficient. To make this algorithm stable it is tested on synthetic data of 3 layers earth model and 5 layers earth model. Both of the examples chosen are difficult to delineate due to presence of high resistive layers (K-type and HKH-type curve). Then this method applied to field data from Satkui and Tangasol region of Midnapur district of West Bengal, India. Results obtained after completion of the inversion process are found to be in agreement with the available results.