Title of article :
A hybrid electromagnetism-like algorithm for single machine scheduling problem
Author/Authors :
Chang، نويسنده , , Pei-Chann and Chen، نويسنده , , Shih-Hsin and Fan، نويسنده , , Chin-Yuan، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Pages :
9
From page :
1259
To page :
1267
Abstract :
Electromagnetism-like algorithm (EM) is a population-based meta-heuristic which has been proposed to solve continuous problems effectively. In this paper, we present a new meta-heuristic that applies the EM methodology to the single machine scheduling problem. To the best of our knowledge, there are only few researches in solving the combinatorial optimization problem (COP) by EM. This research attempts to employ the random-key concept combining with genetic operators in the hybrid algorithm to obtain the best/optimal schedule for the single machine problems. This new approach attempts to achieve the convergence and diversity effects when it is iteratively applied to solve the problem. This hybrid algorithm is tested on a set of standard test problems available in the literature. The computational results show that this hybrid algorithm performs better than the standard genetic algorithm.
Keywords :
Single machine scheduling , Electromagnetism-like algorithm , Total deviations , Dominance property
Journal title :
Expert Systems with Applications
Serial Year :
2009
Journal title :
Expert Systems with Applications
Record number :
2345108
Link To Document :
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