Harmony Search with Teaching-Learning Strategy for 0-1 Optimization Problem
0-1 optimization problem plays an important role in operational research. In this paper, we use a recently proposed algorithm named harmony search with teaching-learning (HSTL) strategy which derived from Teaching-Learning-Based Optimization (TLBO) for solving. Four strategies (Harmony memory consideration, teaching-learning strategy, local pitch adjusting and random mutation) are employed to improve the performance of HS algorithm. Numerical results demonstrated very good computational performance.
Keywords0-1 optimization problem Operational research Harmony search Teaching-learning-based optimization
This work is supported by Project of Youth Star in Science and Technology of Shaanxi Province (2016KJXX-95)
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