Vector GA
Indrajit Bhattacharyya, Anup Kumar Bandypopadhyay, Bhaskar Gupta, Aloknath Chattopadhyay, Rajeswari Chattopadhyay, Kiyotoshi Yasumoto · ACM SIGSOFT Software Engineering Notes · 2009
Many software engineering problems can be viewed as a large multidimensional searching problem. This paper presents an enhancement of conventional Genetic Algorithms (GA) for more efficient multi-variable or multi-dimensional searches. The concept relies upon expressing chromosomes as vectors in the required multidimensional frame of reference. Usual GA operators are also defined as vector operators. Comparison with conventional genetic algorithm is made to illustrate its superior performance.