The novelty of this article lies in introducing a novel stochastic technique named the
Hippopotamus Optimization (HO) algorithm. The HO is conceived by drawing inspiration …

The greatest and fastest advances in the computing world today require researchers to
develop new problem-solving techniques capable of providing an optimal global solution …

Achieving sustainable development goals requires integrating renewable energy systems
(RESs) into our current energy infrastructure. However, sophisticated approaches are …

In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

Recently introduced by CISCO, the fog computing paradigm extends cloud-based
computing services near the Internet of Things (IoT) devices to serve their applications …

This paper presents a new metaphor-free metaheuristic search called the swarm bipolar
algorithm (SBA). SBA is developed mainly based on the non-free-lunch (NFL) doctrine …

There has been a massive development of metaheuristic algorithms in the latest decade
where swarm intelligence becomes the fundamental approach. Meanwhile, there is still no …

In this paper, with motivation from the No Free Lunch theorem, a new human-based
metaheuristic algorithm named Preschool Education Optimization Algorithm (PEOA) is …

Many recent swarm-based metaheuristics are trapped in the exploitation of the highest
quality as the main or the only reference and the neighbourhood search with the reduction of …

This paper introduces the Walrus Optimization Algorithm (WaOA) to address load frequency
control and automatic voltage regulation in a two-area interconnected power systems. The …