کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
475346 699291 2009 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Extended ant colony optimization for non-convex mixed integer nonlinear programming
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Extended ant colony optimization for non-convex mixed integer nonlinear programming
چکیده انگلیسی

Two novel extensions for the well known ant colony optimization (ACO) framework are introduced here, which allow the solution of mixed integer nonlinear programs (MINLPs). Furthermore, a hybrid implementation (ACOmi) based on this extended ACO framework, specially developed for complex non-convex MINLPs, is presented together with numerical results.These extensions on the ACO framework have been developed to serve the needs of practitioners who face highly non-convex and computationally costly MINLPs. The performance of this new method is evaluated considering several non-convex MINLP benchmark problems and one real-world application. The results obtained by our implementation substantiate the success of this new approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Operations Research - Volume 36, Issue 7, July 2009, Pages 2217–2229
نویسندگان
, , ,