کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6893083 699348 2014 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Finding optimal strategies in a multi-period multi-leader-follower Stackelberg game using an evolutionary algorithm
ترجمه فارسی عنوان
یافتن استراتژی های مطلوب در چند مرحله چند رهبر پیرو استاکلبرگ بازی با استفاده از الگوریتم تکاملی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی
Stackelberg games are a classic example of bilevel optimization problems, which are often encountered in game theory and economics. These are complex problems with a hierarchical structure, where one optimization task is nested within the other. Despite a number of studies on handling bilevel optimization problems, these problems still remain a challenging territory, and existing methodologies are able to handle only simple problems with few variables under assumptions of continuity and differentiability. In this paper, we consider a special case of a multi-period multi-leader-follower Stackelberg competition model with non-linear cost and demand functions and discrete production variables. The model has potential applications, for instance in aircraft manufacturing industry, which is an oligopoly where a few giant firms enjoy a tremendous commitment power over the other smaller players. We solve cases with different number of leaders and followers, and show how the entrance or exit of a player affects the profits of the other players. In the presence of various model complexities, we use a computationally intensive nested evolutionary strategy to find an optimal solution for the model. The strategy is evaluated on a test-suite of bilevel problems, and it has been shown that the method is successful in handling difficult bilevel problems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Operations Research - Volume 41, January 2014, Pages 374-385
نویسندگان
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