Elitist-multi-objective differential evolution (E-MODE) algorithm for multi-objective optimization

B. V. Babu, Ashish M. Gujarathi*

*المؤلف المقابل لهذا العمل

نتاج البحث: Conference contribution

8 اقتباسات (Scopus)

ملخص

Several problems in the engineering domain are multi-objective in nature. The solution to multi-objective optimization is a set of solutions rather than a single point solution. Such a set of non-dominated solutions are called Pareto optimal solutions or non-inferior solutions. In this paper, a new algorithm, Elitist-Multi-objective Differential Evolution (E-MODE) is proposed. The proposed algorithm is applied successfully on several test functions, and the results are discussed extensively. Results obtained from the proposed algorithm are compared with those obtained using Multi-objective Differential Evolution (MODE) algorithm. E-MODE is found to give better solutions in terms of wide range of solutions, spread, and diversity of Pareto front than those obtained using MODE.

اللغة الأصليةEnglish
عنوان منشور المضيفProceedings of the 3rd Indian International Conference on Artificial Intelligence, IICAI 2007
الصفحات441-456
عدد الصفحات16
حالة النشرPublished - 2007
منشور خارجيًانعم
الحدث3rd Indian International Conference on Artificial Intelligence, IICAI 2007 - Pune, India
المدة: ديسمبر ١٧ ٢٠٠٧ديسمبر ١٩ ٢٠٠٧

سلسلة المنشورات

الاسمProceedings of the 3rd Indian International Conference on Artificial Intelligence, IICAI 2007

Other

Other3rd Indian International Conference on Artificial Intelligence, IICAI 2007
الدولة/الإقليمIndia
المدينةPune
المدة١٢/١٧/٠٧١٢/١٩/٠٧

ASJC Scopus subject areas

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