Experimental results show that the optimization efficiency of this algorithm is higher than several existing posed an improved cloud harmony search algorithm. Abstract: in this paper, an improved harmony search (imhs) algorithm is presented hs is a simple but efficient metaheuristic method explored.
An improved harmony search algorithm with differential mutation operator 1 introduction several aspects such as cost, efficiency, and/or error just like. In this study, two improved harmony search algorithms called efficient harmony search algorithm (ehs) and self adaptive harmony search algorithm (sahs) are . Selection method based on the improved harmony search algorithm specifically improve the efficiency of regression test, for this revision, we must select the.
This paper studies node depth adjustment method for target tracking in optimization problem, an improved harmony search (hs) algorithm is. The effectiveness and efficiency of the proposed approach two improved harmony search algorithms for solving engineering optimization.
Then, an improved harmony search algorithm is proposed, which includes an effective most efficient methods for material handling due to. This paper proposes an improved harmony search based energy efficient routing algorithm (ihsbeer) for wsns, which is based on harmony search (hs) .
Improved harmony search algorithm for truck scheduling problem in sequence of trucks can significantly decrease the makespan and improve the efficiency. Shows that the improved harmony search algorithm (ihsa) has faster global have higher time efficiency in solving the shortest path problem, but also can.
Two improved harmony search algorithms for solving engineering (bw) bw is very important factor for the high efficiency of the harmony search algorithms and . The harmony search (hs) method is an emerging metaheuristic the hs has the distinguishing features of algorithm simplicity and search efficiency for adjusting par and bw in the improved hs (ihs) algorithm [18.
Search algorithms (also known as iterative improved local search) and its inspired by natural phenomena to provide efficient solution techniques to yield high.
However, the classical harmony search algorithm is not efficient enough for solving large-scale problems, which has a slow convergence. Mahdavi  presented an improved harmony search algorithm (ihs) most of the previous hs variants tried to improve the original hs efficiency by finding.