This paper introduces a comprehensive overview of the Ant Lion Optimizer (ALO). ALO is a
novel metaheuristic swarm-based approach introduced by Mirjalili in 2015 to emulate the …

Optimizing the schedule of thermal generators is probably the most important task when the
operation of power systems is managed. This issue is known as the unit commitment …

Unit commitment (UC) is a popular problem in electric power system that aims at minimizing
the total cost of power generation in a specific period, by defining an adequate scheduling of …

This paper proposes a novel variant of antlion optimizer (ALO), namely accelerated
opposition-based antlion optimizer (OB-ac-ALO). This modified version is conceptualized …

Flyrock is known as one of the main problems in open pit mining operations. This
phenomenon can threaten the safety of mine personnel, equipment and buildings around …

For an effective and reliable power system, determining the optimal state of the accessible
producing units is the key step, which comprises of two segments; making decision in …

Long term load forecasting data is important for grid expansion and power system operation.
Besides, it also important to ensure the generation capacity meet electricity demand at all …

This study presents the application of a new hybrid particle swarm optimization and ant lion
algorithm (Hybrid PSO-ALO) to resolve the economic dispatch problem (ED) considering the …

This paper proposed a method to determine the optimal location and sizing of Distributed
Generation (DG) for power loss minimization using Ant Lion optimizer (ALO). The analysis …

This work proposes a review of a recently developed swarm intelligence-based
metaheuristic algorithm called Antlion Optimizer (ALO), its variants, and applications. The …