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

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

In this paper, an Improved version of the Slime Mould Algorithm (ISMA) is proposed and
applied to efficiently solve the single-and bi-objective Economic and Emission Dispatch …

Classical optimization algorithms are insufficient in large scale combinatorial problems and
in nonlinear problems. Hence, metaheuristic optimization algorithms have been proposed …

A number of modern metaheuristic optimization techniques are being exploited to work out a
single-objective economic dispatch (ED) problem. The dispatch problems even become …

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, the economic load dispatch (ELD) problem with valve point effect is tackled
using a hybridization between salp swarm algorithm (SSA) as a population-based algorithm …

Predicting soil moisture quantity could directly help the people engaged in sustainable
agriculture and associated socio-economic structures. Recently researchers have engaged …