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

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

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 …

Metaheuristic algorithms are found to be promising for difficult and high dimensional
problems. Most of these algorithms are inspired by different natural phenomena. Currently …

Prey predator algorithm is a population based metaheuristic algorithm inspired by the
interaction between a predator and its prey. In the algorithm, a solution with a better …

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 …

The marine predator algorithm is a new nature-inspired metaheuristic algorithm that mimics
biological interaction between marine predators and prey. It has been also stated from the …

Metaheuristic algorithms have been an interesting and widely used area for scientists,
researchers and academicians because of their specific and significant characteristics and …

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 …

Marine predator's algorithm (MPA) is a new optimization algorithm. It is a nature-inspired
metaheuristic that simulates predator behaviors when hunting prey. This paper presented a …