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اقتراح خوارزمية تطورية هجينة لحل مسائل الأمثلة المتعددة الأهداف
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ماهر سلامة( باحث )
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تستخدم الخوارزميات التطورية المتعددة الأهداف على نطاق واسع من المجالات في سبيل حل مسائل الأمثلة, و التي تتطلب وجود عدة أهداف متعارضة يجب أخذها بعين الاعتبار معاً. تمتلك خوارزميات الأمثلة التطورية الأساسية عدة عيوب, مثل الافتقار إلى معيار جيد لإنهاء العمل, و عدم وجود براهين تثبت التقارب الجهد. غالباً ما تستخدم خوارزمية أمثلة تطورية هجينة متعددة الأهداف للتغلب على هذه العيوب.
Multi-objective evolutionary algorithms are used in a wide range of fields to solve the issues of optimization, which require several conflicting objectives to be considered together. Basic evolutionary algorithm algorithms have several drawbacks, such as lack of a good criterion for termination, and lack of evidence of good convergence. A multi-objective hybrid evolutionary algorithm is often used to overcome these defects.
References used
A. Abraham, L. Jain, and R. Gldenberg,2004. Evolutionary Multi- Objective optimization- theorical Advances and Applications, 1st ed
Coello Coello-C.A., Van Veldhuizen-D.A., Lamont-G.B.,2007. Evolutionary Algorithms for Solving Multi-Objective Problems, Springer
G. Ashish and S. Dehuri,2004. Evolutionary Algorithms for Multi- Criterion Optimization A Survey, International Journal of Computing and Information Sciences, vol. 2
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