Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …

Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …

The flower pollination algorithm (FPA) is a nature-inspired algorithm that imitates the
pollination behavior of flowering plants. Optimal plant reproduction strategy involves the …

Differential evolution (DE) and flower pollination algorithm (FPA) are efficient and novel
meta-heuristic algorithms, which are effective tools for solving global optimization problems …

Introducing a novel approach to enhance the diversification and intensification propensities
of the flower pollination algorithm (FPA) is the main aim of this paper. Therefore, the …

Flower pollination algorithm (FPA) is a recent addition to the field of nature inspired
computing. The algorithm has been inspired from the pollination process in flowers and has …

In this paper, we investigate the ability of two new nature-inspired metaheuristics namely the
flower pollination (FP) and the social spiders optimization (SSO) algorithms to solve the …

The flower pollination algorithm (FPA) is a recently proposed metaheuristic inspired by the
natural phenomenon of flower pollination. Since its invention, this star-rising metaheuristic …

In this paper, model order reduction and controller design of permanent magnet
synchronous motor (PMSM) drive has been carried out with the help of a firefly-based hybrid …

The use of metaheuristic, nature inspired algorithms for solving complex optimization
problems with non-linearity and multimodality, has become a popular tool in the field of …