A novel methodology for optimal land allocation for agricultural crops using Social Spider Algorithm.

ABSTRACT: In the current agricultural scenario, availability of suitable land for cultivation is less and profitable allocation of the land for cultivating crops seems to be a cumbersome task. Crop planning optimization is a major research field in agriculture, in which land optimization is a significant challenge, which falls under the category of combinatorial optimization problems. The main objective of the present research is to maximize the net income from agriculture through optimal land allocation. Bio-inspired algorithms are quite popular in solving combinatorial optimization problems. Social Spider Algorithm (SSA), a new bio-inspired algorithm, is used to solve land optimization problem in this research based on the simulation of cooperative behaviour of social spiders. The agricultural are

SUBMITTER: Thilagavathi N 

PROVIDER: S-EPMC6753929 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature