In this paper, a novel swarm‐based metaheuristic algorithm is proposed, which is called
tuna swarm optimization (TSO). The main inspiration for TSO is based on the cooperative …

The world is currently facing a power shortage due to the inadequacy of conventional
energy sources and increased energy requirements in almost all sectors of human life. To …

In this paper, a new bio-inspired meta-heuristic algorithm, named artificial rabbits
optimization (ARO), is proposed and tested comprehensively. The inspiration of the ARO …

A new bio-inspired optimization algorithm called artificial hummingbird algorithm (AHA) is
proposed in this work to solve optimization problems. The AHA algorithm simulates the …

Recently, many metaheuristic optimization algorithms have been developed to address real-
world issues. In this study, a new physics-based metaheuristic called Fick's law optimization …

Recently, many intelligent algorithms have been proposed to find the best solution for
complex engineering problems. These algorithms can search volatile and multi-dimensional …

This paper proposes a new population-based optimization algorithm called hunter–prey
optimizer (HPO). This algorithm is inspired by the behavior of predator animals such as …

As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

Artificial hummingbird algorithm (AHA) is a recently developed bio-based metaheuristic and
it shows superior performance in handling single-objective optimization problems. Despite …

This paper proposes a novel swarm intelligence-based metaheuristic called as sea-horse
optimizer (SHO), which is inspired by the movement, predation and breeding behaviors of …