An improved Ant Colony System for the Sequential Ordering Problem
نویسندگان
چکیده
منابع مشابه
An improved Ant Colony System for the Sequential Ordering Problem
It is not rare that the performance of one metaheuristic algorithm can be improved by incorporating ideas taken from another. In this article we present how Simulated Annealing (SA) can be used to improve the efficiency of the Ant Colony System (ACS) and Enhanced ACS when solving the Sequential Ordering Problem (SOP). Moreover, we show how the very same ideas can be applied to improve the conve...
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A well-known Ant Colony System algorithm for the Sequential Ordering Problem is studied to identify its drawbacks. Some criticalities are identified, and an Enhanced Ant Colony System method that tries to overcome them, is proposed. Experimental results show that the enhanced method clearly outperforms the original algorithm and becomes a reference method for the problem under investigation.
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We present two algorithms within the framework of the Ant Colony Optimization (ACO) metaheuristic. The first algorithm seeks to increase the exploration bias of Gambardella et al.’s (2012) Enhanced Ant Colony System (EACS) model, a model which heavily increases the exploitation bias of the already highly exploitative ACS model in order to gain the benefit of increased speed. Our algorithm aims ...
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ژورنال
عنوان ژورنال: Computers & Operations Research
سال: 2017
ISSN: 0305-0548
DOI: 10.1016/j.cor.2017.04.012