Chemical reaction optimization: A survey with application and challenges

Both physical and chemical objects, properties, behaviours have remained a great inspiration for the optimization community to develop competitive algorithms in contrast to nature-inspired, swarm-and evolutionary-based algorithms. Although the number of developments in both the areas is only a few, still those algorithms are quite efficient to compete with other nature-inspired algorithms. In this paper, a brief review on a novel chemical reaction optimization algorithm is presented with its applications. The algorithm is based on certain chemical properties and has been a keen interest for solving various problems. Further, some future challenges are discussed for further improvements and applicability in other real-life problems.