Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance

Pigeon-inspired optimization (PIO) is a novel swarm intelligence optimizer inspired by the homing behavior of natural pigeons, in which two different operators are designed to simulate the behavior. At the beginning of journey, a map and compass operator is used for pigeons, while in the middle, the navigation of pigeons is switched to a landmark operator. However, the basic PIO is designed for single-objective optimization problem (SOP). For solving multi-objective optimization problem (MOP), Qiu and Duan [1] proposed MPIO based on Pareto sorting scheme and a consolidation operator.

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