Abstract: Using the advantage of genetic algorithm and tabu search, an embedded hybrid optimization algorithm is introduced. A multiuser detector based on the embedded hybrid optimization algorithm is proposed. Numerical results show that the proposed detector provides better performance and has reasonable computational complexity.