Adaptive selective cuckoo search algorithm for multi-objective short-term hydrothermal scheduling

This paper proposes an Adaptive Selective Cuckoo Search Algorithm (ASCSA) for solving the multi-objective short-term hydrothermal scheduling (MOSTHTS). The main objective of the MOSTHTS problem is to minimize both total power generation cost and emission of thermal generators over a scheduling period while satisfying power balance, hydraulic, and generator operating limit constraints.