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The Shortest Common Supersequence problem is an NP-hard optimization problem that has a vast use in real world problems. It is used in data compression and different bio-informatics analysis. Different types of approaches were used to solve this problem. Exact algorithms failed to compute for large instances whereas approximation algorithms lack optimality. In this paper, we propose a meta-heuristic...
Longest Common Subsequence (LCS) is a well-known optimization problem. It is the problem to find out a longest subsequence of each member of a given set of sequences. It is an NP-hard problem and has applications in data compression, FPGA circuit minimization and bioinformatics. Chemical Reaction Optimization (CRO) is a new meta-heuristic method that is being widely used in solving optimization problem...
Today our world is ready to make the maximum use of cloud computing facility as like other daily most common utilities such as electricity, gas and water. However, currently the cloud is showing its limited effect in case of utility service system. The main lacking in cloud is the absence of unified architecture for deploying service and use of application in an optimum way to make the maximum availability...
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