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