Abstract
This paper introduces a new evaluation function, called δ , for the Bandwidth Minimization Problem for Graphs (BMPG). Compared with the classical β evaluation function used, our δ function is much more discriminating and leads to smoother landscapes. The main characteristics of δ are analyzed and its practical usefulness is assessed within a Simulated Annealing algorithm. Experiments show that thanks to the use of the δ function, we are able to improve on some previous best results of a set of well-known benchmarks.
This work was partially supported by the CONACyT Mexico.
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Rodriguez-Tello, E., Hao, JK., Torres-Jimenez, J. (2004). An Improved Evaluation Function for the Bandwidth Minimization Problem. In: Yao, X., et al. Parallel Problem Solving from Nature - PPSN VIII. PPSN 2004. Lecture Notes in Computer Science, vol 3242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30217-9_66
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DOI: https://doi.org/10.1007/978-3-540-30217-9_66
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