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The ideology is to use a large BW to search in the full domain and to adjust the BW dynamically closer to the optimal solution. The BW needs to have both explorative and exploitative characteristics. The present work demonstrates a new variant of the harmony search (HS) algorithm where bandwidth (BW) is one of the deciding factors for the time complexity and the performance of the algorithm. However, the differences between all four reduced gradually, along with the increasing number of iterations.Īn improved harmony search algorithm with dynamically varying bandwidth Experimental results show that IHS is best, with DHS ranking second among the four improved trackers when the iteration number is small. Their performances are tested and analyzed on multiple challenging video sequences. Our work is a continuation of Fourie's study, with four prominent improved variations of HS, namely Improved Harmony Search (IHS), Global-best Harmony Search (GHS), Self-adaptive Harmony Search (SHS) and Differential Harmony Search (DHS) adopted into the tracking system. As the authors point out, many subjects are still required in ongoing research. A new meta-heuristic optimal algorithm, Harmony Search (HS), was first applied to perform visual tracking by Fourie et al. Visual tracking can be treated as an optimization problem. Gao, Ming-Liang He, Xiao-Hai Luo, Dai-Sheng Yu, Yan-Mei Object tracking based on harmony search: comparative study The comparison is based on the quality of the results obtained, the computational demands and the sensitivity on the algorithmic parameters. The ant colony optimization algorithm is employed for solving the associated routing problem that constitutes the second part. The efficiency of IHS is compared with that of the algorithms of particle swarm optimization, differential evolution, basic harmony search and the pure random search procedure, when solving the districting problem that is the first part of post-disaster infrastructure management. In this work, an improved harmony search (IHS) algorithm is presented, while a holistic approach for solving the problem of post-disaster infrastructure management is also proposed. The ability of nature-inspired search algorithms to efficiently handle combinatorial problems, and their successful implementation in many fields of engineering and applied sciences, have led to the development of new, improved algorithms.
An improved harmony search algorithm for emergency inspection scheduling
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