Abstract: In this work, the most common problem of the modern power system named optimal power flow (OPF) is optimized using the novel meta-heuristic optimization algorithm ant lion optimizer (ALO). ALO is inspired by the hunting process of ant-lions in the natural environment. ALO has a fast convergence rate due to the use of roulette wheel selection method. For the solution of the optimal pow...

Nature-inspired metaheuristics of the swarm intelligence field are a powerful approach to solve electromagnetic optimization problems. Ant lion optimizer (ALO) is nature-inspired stochastic metaheuristic that mimics hunting behavior ant lions using steps random walk ants, building traps, entrapment ants in catching preys, and re-building traps. To extend classical single-objective ALO, this pap...

The purpose of this paper is to solve a multiobjective electric power dispatch problem, which is a multiple non-commensurable objective problem, minimizes operating cost, adhering pollution norms, low transmission loss and no violations on voltage levels subject to various constraints. Improved control settings such as generator powers, bus voltage magnitudes, transformer taps and shunt capacit...