Metaheuristic algorithms are intelligent optimization approaches that lead the searching
procedure through utilizing exploitation and exploration. The increasing complexity of real …

This paper introduces a new bio-inspired metaheuristic algorithm called Walrus Optimization
Algorithm (WaOA), which mimics walrus behaviors in nature. The fundamental inspirations …

Optimization is a buzzword, whenever researchers think of engineering problems. This
paper presents a new metaheuristic named dingo optimizer (DOX) which is motivated by the …

In this paper, a hybrid bio-inspired metaheuristic optimization approach namely emperor
penguin and salp swarm algorithm (ESA) is proposed. This algorithm imitates the huddling …

This paper introduces a bio-inspired metaheuristic optimization algorithm named Tunicate
Swarm Algorithm (TSA). The proposed algorithm imitates jet propulsion and swarm …

In this paper, a new bio-inspired metaheuristic algorithm called Zebra Optimization
Algorithm (ZOA) is developed; its fundamental inspiration is the behavior of zebras in nature …

Metaheuristics play a crucial role in solving optimization problems. The majority of such
algorithms are inspired by collective intelligence and foraging of creatures in nature. In this …

This paper proposes a novel swarm intelligence bioinspired optimization algorithm, called
the Dandelion Optimizer (DO), for solving continuous optimization problems. DO simulates …

This paper proposes a novel nature-inspired meta-heuristic optimizer, called Reptile Search
Algorithm (RSA), motivated by the hunting behaviour of Crocodiles. Two main steps of …

One of the most recently developed heuristic optimization algorithms is dragonfly by Mirjalili.
Dragonfly algorithm has shown its ability to optimizing different real‐world problems. It has …