Researchers from different domains have developed several metaheuristic algorithms that
are inspired by the biological phenomenon. In this work, we propose a novel algorithm that …

Abstract Recently developed Grey Wolf Optimizer (GWO) algorithm has conspicuous
behavior for verdict of global optima, without getting ensnared in premature convergence …

Nature-inspired optimization algorithms have become useful in solving difficult optimization
problems in different disciplines. Since the introduction of evolutionary algorithms several …

Grey wolf optimiser (GWO) is a recent, fast and easy-to-implement, nature inspired meta-
heuristic optimisation algorithm that focuses on social behaviour of grey wolves. GWO …

Optimization is a common phenomenon that we encounter in our daily routine, which
involves selecting the best option from a set of alternatives. A lot of algorithms have been …

Metaheuristic algorithms are useful in solving complex optimization problems. Genetic
algorithm (GA) is one of the well known and oldest metaheuristic algorithms. It was …

The difficulty and complexity of the real-world numerical optimization problems has grown
manifold, which demands efficient optimization methods. To date, various metaheuristic …

Nature-inspired metaheuristic algorithms have been recognized as powerful global
optimization techniques in the last few decades. Many different metaheuristic optimization …

Prey predator algorithm is a swarm-based metaheuristic algorithm inspired by the interaction
between a predator and its prey. The worst performing solution from the solution set is called …

Forty-three of well-known test functions, which used in the area of optimization are used as
benchmark to check BM algorithm, in addition, BM verified by a comparative performance …