Abstract
We suggest a novel memory-based metaheuristic optimization algorithm, VLR, which uses a list of already-visited areas to more effectively search for an optimal solution. We chose the Max-cut problem to test its optimization performance, comparing it with state-of-the-art methods.VLRdominates the previous best-performing heuristics.We also undertake preliminary analysis of the algorithm’s parameter space, noting that a larger memory improves performance. VLR was designed as a general-purpose optimization algorithm, so its performance on other problems will be investigated in future.
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Yun, H., Ha, M.H., McKay, R.I. (2014). VLR: A Memory-Based Optimization Heuristic. In: Bartz-Beielstein, T., Branke, J., Filipič, B., Smith, J. (eds) Parallel Problem Solving from Nature – PPSN XIII. PPSN 2014. Lecture Notes in Computer Science, vol 8672. Springer, Cham. https://doi.org/10.1007/978-3-319-10762-2_15
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DOI: https://doi.org/10.1007/978-3-319-10762-2_15
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