Table 1. Summary of literature review.

SR#	Title	Techniques	Limitations	References
1	Genetic Algorithm	Genetic Algorithm, Random Selection, Performance Matrices	The Genetic Algorithm is the population base algorithm	Mirjalili (2019)
2	Constrained Group Counseling Optimization	Performance Matrices, Single-Objective Functions, Single-Objective Optimization Problems, Group Counseling Optimizer, Random Selection	Used the Dominate Data Set, Social Problems of Human	Eita & Fahmy (2010)
3	Experiments with a software component enabling NetSolve with direct communications in a non-intrusive and incremental way	Expression based approach, Binary Tree Method	The main issue of this approach is that the execution time increases for large grid matrix multiplications	Zuo & Lastovetsky (2007)
4	Accelerating the dynamic programing for the matrix chain product on the GPU	Dynamic Programming Approach	It is time consuming because time varies with n3 here n is number of matrices	Nishida, Ito & Nakano (2011)
5	Hama: An efficient matrix computation with the map reduce framework	Map Reduce, Binary Tree	The main issue of map reduce technique is that size of matrix does not fit in the memory and difficult to optimize the multi-way join operation in Map Key if the same number assigned to more attributes	Seo et al. (2010)
6	Matrix-Chain Multiplication Using Greedy and Divide-Conquer approach	Greedy Approach, Genetic Algorithm	The greedy approach stuck at the local optimal and consider it global optimal	Lakhotia et al. (2015)
7	A Chain-Multiplier for Large Scale Matrix Multiplication	Systolic Approach, Dynamic Programming	The main issue of this approach is that there are limited hardware resources	Wei et al. (2017)
8	Matrix chain multiplication via multi-way join algorithms in Map Reduce	Map Reduce framework	Size of matrix does not fit in the memory	Myung & Lee (2012)
9	Theoretical and Experimental Study of a Parallel Algorithm Solving the Matrix Chain Product Problem	Three phase methodology based on dynamic programing	Short matrix length the execution time is much larger	Mabrouk, Hasni & Mahjoub (2017)