Abstract The Mountain Gazelle Optimizer (MGO), a novel meta-heuristic algorithm inspired
by the social life and hierarchy of wild mountain gazelles, is suggested in this paper. In this …

The ABC algorithm is one of the popular optimization algorithms and has been used
successfully in solving many real-world problems. Numeric, binary, integer, mixed integer …

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

Optimization is an important and fundamental challenge to solve optimization problems in
different scientific disciplines. In this paper, a new stochastic nature-inspired optimization …

In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …

Nowadays, the design of optimization algorithms is very popular to solve problems in
various scientific fields. The optimization algorithms usually inspired by the natural …

In this paper, a new stochastic optimization algorithm is introduced, called Driving Training-
Based Optimization (DTBO), which mimics the human activity of driving training. The …

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 …

Optimization plays a key role in various disciplines of science in order to achieve the optimal
solution among all available solutions. Innovation and contribution of this paper is in …

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 …