A novel hybrid harmony search(HHS) algorithm is proposed for the competitive location problem. The greedy
algorithm is used for initializing the harmony memory of harmony search(HS) algorithm, which can reduce the probability
of the initial infeasible solution. During the search, the artificial fish-warm prey behavior is introduced into the HS algorithm
so as to enhance the ability of escaping from local optimal solution and accelerate the converge speed of the algorithm.
Moreover, the current optimal solution is considered when the new harmony is improvised, and a new pitch-adjusted method
is presented in order to enhance the exploration ability. Experiments are carried out on typical competitive location problems.
Simulation shows the effectiveness of the proposed algorithm.