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This study presents a seeker optimisation algorithm (SOA) for the solution of the constrained economic load dispatch (ELD) problems in different power systems considering various non-linear characteristics of generators. In the SOA, the act of human searching capability and understanding are exploited for the purpose of optimisation. In this algorithm, 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. A comparison of simulation results reveals the optimisation efficacy of the algorithm over the prevailing optimisation techniques for the solution of the multimodal, non-differentiable, highly non-linear and constrained ELD problems.