دانلود مقاله ISI انگلیسی شماره 52707
ترجمه فارسی عنوان مقاله

الگوریتم ذرات زنبور عسل بر اساس هوش ازدحامی ترکیبی برای بهینه سازی چیدمان ساخت سایت

عنوان انگلیسی
A hybrid swarm intelligence based particle-bee algorithm for construction site layout optimization
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
52707 2012 9 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Expert Systems with Applications, Volume 39, Issue 10, August 2012, Pages 9642–9650

ترجمه کلمات کلیدی
طرح بندی ساخت سایت - هوش انبوه - الگوریتم زنبور عسل؛ بهینه سازی ازدحامی ذرات ؛ الگوریتم ذرات زنبور
کلمات کلیدی انگلیسی
Construction site layout; Swarm intelligence; Bee algorithm; Particle swarm optimization; Particle-bee algorithm
پیش نمایش مقاله
پیش نمایش مقاله  الگوریتم ذرات زنبور عسل بر اساس هوش ازدحامی ترکیبی برای بهینه سازی چیدمان ساخت سایت

چکیده انگلیسی

The construction site layout (CSL) design presents a particularly interesting area of study because of its relatively high level of attention to usability qualities, in addition to common engineering objectives such as cost and performance. However, it is difficult combinatorial optimization problem for engineers. Swarm intelligence (SI) was very popular and widely used in many complex optimization problems which was collective behavior of social systems such as honey bees (bee algorithm, BA) and birds (particle swarm optimization, PSO). This study proposed an optimization hybrid swarm algorithm namely particle-bee algorithm (PBA) based on a particular intelligent behavior of honey bee and bird swarms by integrates theirs advantages. This study compares the performance of PBA with that of BA and PSO for hypothetical construction engineering of CSL problems. The results show that the performance of PBA is comparable to those of the mentioned algorithms and can be efficiently employed to solve those hypothetical CSL problems with high dimensionality.