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Seeker optimization algorithm SOA is a new heuristic population-based search algorithm.

In this paper, SOA is utilized to tune the parameters of both single-input and dual-input power system stabilizers PSSs. In SOA, the act of human searching capability and understandings are exploited for the purpose of optimization.

In SOA-based optimization, the search direction is based on empirical gradient by evaluating the response to the position changes and the step length is based on uncertainty reasoning by using a simple fuzzy rule. From simulation study it is revealed that the transient performance of the dual-input PSS is better than the single-input PSS. Sugeno fuzzy logic SFL -based approach is adopted for on-line, off-nominal operating conditions.

On real time measurements of system operating conditions, SFL adaptively and very fast yields on-line, off-nominal optimal stabilizer parameters. View PDF. Access through your institution Purchase PDF. Ghoshal b V. Mukherjee c.

Add to Mendeley Share. Abstract Seeker optimization algorithm SOA is a new heuristic population-based search algorithm. Keywords Bacteria foraging optimization.

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