ABSTRACT

Nature has always been a source of inspiration for human beings. It is quite apparent in recent engineering and optimization problems that have found their solutions in nature-inspired algorithms. The basic steps followed by most of these algorithms are same. Difference lies in the way these basic steps are implemented. In this paper, implementation details of six recent and popular nature-inspired algorithms namely, Artificial Bee Colony Algorithm, Bat Algorithm, Black Hole Algorithm, Cuckoo Search Algorithm, Flower Pollination Algorithm and Grey Wolf Optimization Algorithm have been discussed. They are further compared on the basis of attributes such as their source of inspiration, the individuals in the population, way of selecting current best solution, ways to identify new solutions, ways to search better solutions and ways to abandon bad solutions.