A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization
algorithm (AZOA), which mimics the social behaviour of American zebras in the wild, is …

A recently established swarm-based algorithm, namely, Mountain Gazelle Optimizer (MGO)
which draws inspiration from social structure and hierarchy of wild mountain gazelles is …

Abstract Golden Jackal Optimization (GJO) is a recently developed nature-inspired algorithm
that is motivated by the collaborative hunting behaviours of the golden jackals in nature …

Meta-heuristic algorithms are usually employed to address a variety of challenging
optimization problems. In recent years, there has been a continuous effort to develop new …

Over the last few decades, a number of prominent meta-heuristic algorithms have been put
forth to address complex optimization problems. However, there is a critical need to enhance …

The crow search arithmetic optimization algorithm (CSAOA) method is introduced in this
article as a novel hybrid optimization technique. This proposed strategy is a population …

The actual industrial process is usually an uncertain dynamic process. Probability
constraints are appropriate for the industrial process modeling in uncertain environments …

Abstract The Aquila Optimization (AO) algorithm is a newly established swarm-based
method that mimics the hunting behavior of Aquila birds in nature. However, in complex …

Renewable energy systems provide a dependable, environment-friendly, and cost-effective
alternative for producing electricity in remote regions. The growing use of meta-heuristic …

The role of prosumers is changing as they become active and empowered members of the
grid by exchanging energy. This introduces bidirectional power flow and other challenges …