Optimization of Virtual Network Mapping Based on Improved Ant Colony Algorithm in Complex Network Environments

Financial marketing is a method of risky investment, but in shorter duration, the individual can expect profit or loss, depending on current market rate for organization. Though it has higher risk getting profit, many individuals are ready to take chance benefit. In era, much research going provide better prediction rate. Most researchers prefer Ant Colony Optimization (ACO) as more trustworthy optimization algorithm among existing algorithms. this work, novel proposed; hybrid with and financial crisis (FMCP) termed ACO-FMCP. This was applied economic sanctions dataset, results were generated. The compared ACO FMCP algorithms found that ACO-FMCP shows improved performance than other two