کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
393692 665660 2014 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An adaptive invasion-based model for distributed Differential Evolution
ترجمه فارسی عنوان
یک مدل مبتنی بر تهاجم انطباق برای تکامل افتراق توزیع شده
کلمات کلیدی
تکامل یافته دیفرانسیل، تنظیم پارامتر کنترل انعطاف پذیر، مهاجرت عظیم تهاجم بیولوژیکی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

A novel adaptive model for a recently devised distributed Differential Evolution algorithm is introduced. The distributed algorithm, following the stepping-stone model, is characterized by a migration model inspired by the phenomenon known as biological invasion. The adaptive model is endowed with three updating schemes to randomly set the mutation and the crossover parameters. These schemes are here tied to the migration and are guided by a performance measure between two consecutive migrations. The proposed adaptive model is tested on a set of classical benchmark functions over the different setting schemes. To evaluate its performance, the model is compared against the original non-adaptive version with a fixed parameter setting, and against a well-known distributed Differential Evolution algorithm equipped with the same schemes for the control parameter updating. The experimental study shows that the method results in high effectiveness in terms of solutions detected and convergence speed on most of the benchmark problems and for the majority of the setting schemes investigated. Finally, to further estimate its effectiveness, the proposed approach is also compared with several state-of-the-art Differential Evolution frameworks endowed with different randomized or self-adaptive parameter setting strategies. This comparison shows that our adaptive model allows obtaining the best performance in most of the tests studied.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volume 278, 10 September 2014, Pages 653–672
نویسندگان
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