A hybrid Grasp and Scatter Search for the exam timetabling problem

D. Hadjidj, H. Drias
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引用次数: 1

Abstract

In this paper we describe a new hybrid evolutionary algorithm and its implementation for the NP hard exam timetabling problem. This approach uses the good features of the Greedy Randomized Adaptive Search Procedure (GRASP) and the evolutionary Scatter Search (SS) approach which uses strategies for search diversification and intensification to maintain and evolve a population of solutions. New solutions are improved before replacing others according to their quality and diversity. The implementation of the algorithm has been experimented on the popular Carter's benchmarks and compared with the best recent results.
考试排课问题的混合把握和分散搜索
本文描述了一种新的混合进化算法及其在NP难考试排课问题中的实现。该方法利用贪婪随机自适应搜索方法(GRASP)和进化分散搜索方法(SS)的优点,采用搜索多样化和强化策略来维持和进化解的种群。新的解决方案在取代其他解决方案之前会根据其质量和多样性进行改进。该算法的实现已经在流行的卡特基准上进行了实验,并与最近的最佳结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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