Published 2018
“…This merit is provided by balancing the exploitation of solution structure and exploration of its appropriate weighting factors through use of a robust and efficient optimization
algorithm in
learning process of GEP approach. To assess the applicability and accuracy of the proposed method for long-term electrical energy consumption, its estimates are compared with those obtained from artificial neural network (ANN), support vector regression (SVR), adaptive neuro-fuzzy inference system (ANFIS), rule-based data mining
algorithm, GEP, linear, quadratic and exponential models optimized by particle swarm optimization (PSO), cuckoo search
algorithm (CSA), artificial
cooperative search (ACS)
algorithm and backtracking search
algorithm (BSA). …”
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Thesis