Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …

The flower pollination algorithm (FPA) is a nature-inspired algorithm that imitates the
pollination behavior of flowering plants. Optimal plant reproduction strategy involves the …

The butterfly optimization algorithm (BOA) is a new metaheuristic algorithm that is inspired
from food foraging behavior of the butterflies. Because of its simplicity and effectiveness, the …

One of the most effective approaches to reduce carbon emissions is the integration of
renewable energy sources into electrical power networks. Currently, wind turbines are the …

Flower pollination algorithm is a recent metaheuristic algorithm for solving nonlinear global
optimization problems. The algorithm has also been extended to solve multiobjective …

Combined economic emission dispatch (CEED) problems are among the most crucial
problems in electrical power systems. The purpose of the CEED is to plan the outputs of all …

Probabilistic load forecasting (PLF) is necessary for power system operations and control as
it assists in proper scheduling and dispatch. Moreover, PLF adequately captures the …

Due to the rapid increase in the consumption of electrical energy and the instability of fossil
fuel prices, renewable energy, such as wind power (WP), has become increasingly …

In this paper, an optimal power flow solution method incorporating a cost model that
associates the uncertainty‐related expense incurred with the use of renewable energy …

Optimal power flow (OPF) problem has become more significant for operation and planning
of electrical power systems because of the increasing energy demand. OPF is very important …