Swarm Programming Using Moth-Flame Optimization and Whale Optimization Algorithms

Automatic programming (AP) is an important area of Machine Learning (ML) where computer programs are generated automatically. Swarm Programming (SP), a newly emerging research in AP, automatically generates the using Intelligence (SI) algorithms. This paper presents two grammar-based SP methods named as Grammatical Moth-Flame Optimizer (GMFO) and Whale (GWO). The Optimization algorithm used search engines or learning algorithms GMFO GWO respectively. proposed tested on Santa Fe Ant Trail, quartic symbolic regression, 3-input multiplexer problems. results compared with Bee Colony (GBC) Fireworks (GFWA). experimental demonstrate that can be automatic program generation.