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A drawback of the skewed schemes is their higher computational requirements, associated with an increased number of iterations required for convergence.
In the simplest case, the adaptive landscape has only one fitness peak, such that replicate populations should eventually converge on the same solution (although the time required for convergence may be exceedingly long).
This acts to reduce the time required for convergence of opinions.
Execution times and number of modes required for convergence are recorded.
Stability condition of discrete linear systems is employed to derive the conditions required for convergence.
This process becomes prohibitively expensive due to the amount of computer time required for convergence to an optimum design.
Nevertheless, this research area remains underexplored, primarily with respect to the time required for convergence of these heuristics.
The performance of GA is related to processing time and the number of generations required for convergence and the convergence itself.
Numerical results show how both approaches performed successfully in reducing the overall system solution time cost and iterations required for convergence.
We provide typical execution times for a single iteration of the IP algorithm and the number of iterations required for convergence in different situations.
We further find high spatial variations in the time required for convergence; the region with high precipitation such as Lower Ganga basin attains convergence at a faster rate.
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