Hybrid optimization strategy based on genetic algorithm and tabu search

An hybrid optimization algorithm—TSGA which combines the characteristic of tabu search and genetic algorithm is given.On one hand, better original solutions are provided to tabu search, reduces the called times of tabu search, on the other hand, it can also improves the mountain climbing of the genetic algorithm, speeds up the convergence speed and gets satisfied results.The test results demonstrate the validity and feasibility of this hybrid optimization algorithm.By applying it to network congestion control, the simulation and research results offer an effective approach to implement network congestion control.