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Abstract: Artificial immune system can be used to generate schedules in changing environments and it has been proven to be more robust than schedules developed using a genetic algorithm. Good schedules can be produced especially when the number of the antigens is increased. However, an increase in the range of the antigens had somehow affected the fitness of the immune system. In this research, we are trying to improve the result of the system by rescheduling the same problem using the same method... (Update)
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BibTeX entry: (Update)
@misc{ bristol-poster,
author = "Engineer's House Bristol",
title = "Poster Proceedings of ACDM 2004",
url = "citeseer.ist.psu.edu/721524.html" }
Citations (may not include all citations):38 A Promising Genetic Algorithm Approach to JobShop Scheduling.. - Fang, Ross et al. - 1993
35 Heuristic Scheduling Systems (context) - Morton, Pentico - 1993
29 Genesis: A System For Using Genetic Search Procedures (context) - Grefenstette - 1984
16 The Evolution of Emergent Organization in Immune System Gene.. - Hightower, Forrest et al. - 1995
12 Artificial Immune Systems: A New Computational Intelligence .. (context) - Timmis - 2002
10 Producing Robust Schedules Via An Artificial Immune System (context) - Hart, Ross et al. - 1998
5 Genetic Algorithms in Timetabling and Scheduling - Fang - 1994
5 An Immune System Approach to Scheduling in Changing Environm.. (context) - Hart, Ross - 1999
4 A Genetic Algorithm For Robust Schedules - Sevaux, Sorenson - 2002
1 The Evolution and Analysis of a Potential Antibody Library f.. (context) - Hart, Ross - 1999
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