A Scheme for Combining SSA with HSA and its Application to an
Uncapacitated SLLS Problem
Abstract:
Scatter Search Algorithm (SSA) and Harmony Search Algorithm
(HS) are two meta-heuristics proposed respectively in 1977 to solve discrete
optimization problems and in 2001 for continuous optimization problems. Currently,
both algorithms have been wildly adopted in many optimization fields. In this
study, a scheme for combining the scatter search algorithm and harmony search
algorithm is proposed with a hope that the proposed algorithm can play an important
role in the developing process of intelligence optimization and be suitable
for many other research fields. The effectiveness and efficiency are tested
through an uncapacitated Single-level Lot-sizing (SLLS) problem. Computational
result shows the feasibility of the proposed scheme. The significance of this
study is proposing a new algorithm for discrete optimization field and a new
tool for SLLS problem.
How to cite this article
Yi Han, Jianhu Cai, Ikou Kaku, Yanlai Li and Liping Zhao, 2013. A Scheme for Combining SSA with HSA and its Application to an
Uncapacitated SLLS Problem. Journal of Applied Sciences, 13: 2752-2759.
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