%0 Journal Article
%A CHUAI Gang
%A LUO Hai-wen
%A SHEN Tao
%T Adaptive Multi-Particles Simulated Annealing for High-Dimensional Optimization of ACP
%D 2015
%R 10.13190/j.jbupt.2015.01.018
%J Journal of Beijing University of Posts and Telecommunications
%P 92-96
%V 38
%N 1
%X <p>An improved adaptive multi-particles simulated annealing (AMSA) was proposed to solve high-dimensional optimization problem. Thinking of multi particles, this new algorithm divides the entire high-dimensional space into several parts randomly as well as operates local annealing independently. Currently, when each local reaches steady state, with temperature decreasing, the particles are self-adaptively reduced for less complexity based on the relationship of the particles and their status. Consequently, AMSA can be used to settle high-dimensionally optimizing (universal mobile telecommunications system) automatic cell planning issue. Simulation shows that compared to other heuristic algorithms, it is good to settle high-dimensionally optimizing issue, and AMSA algorithm can achieve better results within a predetermined time.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2015.01.018