A modified harmony search threshold accepting hybrid optimization algorithm
作者： Yeturu Maheshkumar , Vadlamani Ravi
DOI: 10.1007/978-3-642-25725-4_26
关键词:
摘要: Hybrid metaheuristics are the recent trend that caught attention of several researchers which more efficient than in finding global optimal solution terms speed and accuracy. This paper presents a novel optimization metaheuristic by hybridizing Modified Harmony Search (MHS) Threshold Accepting (TA) algorithm. methodology has advantage one is used to explore entire search space find area near optima then other exploit solution. In this approach was employed whereas algorithm optimum Effectiveness proposed hybrid tested on 22 benchmark problems. It compared with recently MHS+MGDA hybrid. The results obtained demonstrate outperforms MHS accuracy functional evaluations can be an expeditious alternative MHS+MGDA.
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