global optimization methods play an important role to solve many real-world problems. flower pollination algorithm (fp) is a new nature-inspired algorithm, based on the characteristics of flowering plants. in this paper, a new hybrid optimization method called hybrid flower pollination algorithm (fppso) is proposed. the method combines the standard flower pollination algorithm (fp) with the par...

This paper presents the discrete version of Mycorrhiza Tree Optimization Algorithm (MTOA), using Lotka–Volterra Discrete Equation System (LVDES) formed by Predator–Prey, Cooperative and Competitive Models. The Mycorrhizal (DMOA) is a stochastic metaheuristic that integrates randomness in its search processes. These algorithms are inspired nature, specifically symbiosis between plant roots funga...

Nature computing has evolved with exciting performance to solve complex real-world combinatorial optimization problems. These problems span across engineering, medical sciences, and sciences generally. The Ebola virus a propagation strategy that allows individuals in population move among susceptible, infected, quarantined, hospitalized, recovered, dead sub-population groups. Motivated by the e...

Global optimization methods play an important role to solve many real-world problems. Flower pollination algorithm (FP) is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, a new hybrid optimization method called hybrid flower pollination algorithm (FPPSO) is proposed. The method combines the standard flower pollination algorithm (FP) with the par...

In this paper, we have introduced a new multi-agent nature-inspired routing algorithm. The algorithm is referred to as the BeesAnts algorithm. It is a combination of the ant colony-based routing algorithm (ARA) and the BeeHive-based routing algorithm. The proposed routing algorithm works effectively on networks consisting of two parts; one is a fixed network and the other is a mobile ad hoc net...