کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4629498 | 1340582 | 2012 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A novel hybrid algorithm based on particle swarm and ant colony optimization for finding the global minimum
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
ریاضیات
ریاضیات کاربردی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A novel hybrid algorithm based on particle swarm and ant colony optimization for finding the global minimum A novel hybrid algorithm based on particle swarm and ant colony optimization for finding the global minimum](/preview/png/4629498.png)
چکیده انگلیسی
This paper presents a novel hybrid algorithm based on particle swarm optimization (PSO) and ant colony optimization (ACO) and called hybrid ant particle optimization algorithm (HAP) to find global minimum. In the proposed method, ACO and PSO work separately at each iteration and produce their solutions. The best solution is selected as the global best of the system and its parameters are used to select the new position of particles and ants at the next iteration. The performance of proposed method is compared with PSO and ACO on the benchmark problems and better quality results are obtained by HAP algorithm.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematics and Computation - Volume 219, Issue 4, 1 November 2012, Pages 1515-1521
Journal: Applied Mathematics and Computation - Volume 219, Issue 4, 1 November 2012, Pages 1515-1521
نویسندگان
Mustafa Servet Kıran, Mesut Gündüz, Ãmer Kaan Baykan,