A Multiple Objective Ant Colony Optimization Approach To Assembly Line Balancing Problems
Yazarlar (3)
Prof. Dr. Adil Baykasoğlu Dokuz Eylül Üniversitesi, Türkiye
Prof. Dr. Türkay Dereli Gaziantep Üniversitesi, Türkiye
Doç. Dr. İbrahim SABUNCU Yalova Üniversitesi, Türkiye
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| Kongre Adı | 35th International Conference on Computers and Industrial Engineering | ||
| Kongre Tarihi | 19-06-2005 / 22-06-2005 | ||
| Basıldığı Ülke | Türkiye | Basıldığı Şehir | İstanbul |
| UAK Araştırma Alanları |
Sosyal Medya Uygulamaları ve Analizi
|
||
| Özet |
| In this research paper, an Ant Colony Optimization (ACO) based heuristic algorithm is proposed for solving simple (one-sided straight line) and U-shaped assembly line balancing problems (ALBP) with multiple objectives. The paper makes one of the first attempts to show how the ACO heuristic can be used to solve multiple objective U-shaped ALBP. A novel algorithm is proposed in this paper that seamlessly integrates COMSOAL algorithm, Ranked Positional Weight Heuristic (RPWH) and ACO heuristic in order to obtain optimal or near optimal solutions to simple and U-shaped ALBPs with multiple objectives. Minimization of number of workstations and smoothness index are considered as the optimization criteria. Several test problems from the literature are solved to test the performance of the proposed approach. The result of the computational experiments has shown that the ACO based algorithm can be a … |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Yöksis | 3 |
| Google Scholar | 11 |