نوع مقاله : مقاله پژوهشی
نویسندگان
1 استادیار گروه مهندسی صنایع دانشگاه پیام نور
2 استاد دانشکده مدیریت صنعتی دانشگاه علامه طباطبایی
3 استاد دانشکده مهندسی صنایع دانشگاه تهران
4 دانشجوی دکتری مهندسی صنایع دانشگاه آزاد اسلامی واحد قزوین
چکیده
تخصیص اجزاء مازاد شامل انتخاب اجزاء و سطوح افزونگی برای بیشینه نمودن قابلیت اطمینان تحت
محدودیتهای مختلف سیستم است. در اکثر طراحیها، به دلیل وجود توابع هدف چندگانه متضاد، محاسبه
قابلیت اطمینان دشوار میباشد. در مدل ارائه شده در این مقاله سه هدف شامل بیشینه سازی قابلیت
اطمینان،کمینهسازی حجم و کمینهسازی هزینه مد نظر قرار میگیرد که برای حل آن، یک الگوریتم تلفیقی
چندهدفه جدید بر پایه الگوریتمهای رقابتی و ژنتیک برای اولین بار در حل مسائل بهینه سازی قابلیت اطمینان
چند هدفه با استفاده از تخصیص عضو مازاد پیشنهاد میشود. علاوه بر این از روش رویه شناسی رویه سطح
1( برای تنظیم عملگرهای الگوریتم پیشنهادی استفاده میشود. الگوریتم پیشنهادی در مقایسه با RSM( پاسخ
3از کارایی بالاتری برخوردار است. PAES 2و NSGA-II دو الگوریتم
کلیدواژه‌ها
عنوان مقاله [English]
Proposed a Hybrid Multi-Objective competitive Algorithm for solving the redundancy allocation reliability problem
نویسندگان [English]
- Roozbeh . Azizmohammadi 1
- Maghsoud .Amiri 2
- Reza Tavakkoli- Moghadam 3
- Hamid Reza. Mashatzadegan 4
چکیده [English]
A redundancy allocation problem is a well-known NP-hard problem that
involves the selection of elements and redundancy levels to maximize the
system reliability under various system-level constraints. In many practical
design situations, reliability apportionment is complicated because of the
presence of several conflicting objectives that cannot be combined into a
single-objective function. A stele communications, manufacturing and power
systems are becoming more and more complex, while requiring short
developments schedules and very high reliability, it is becoming increasingly
important to develop efficient solutions to the RAP. In this paper, a new
hybrid multi-objective competition algorithm (HMOCA)based on
competitive algorithm (CA) and genetic algorithm (GA) is proposed for the
first time in multi-objective redundancy allocation problems. In the multiobjective
formulation, the system reliability is maximized while the cost and
volume of the system are minimized simultaneously. Additionally, ay RSM
is employed to tune the CA parameters. The proposed HMOCA is validated
by some examples with analytical solutions. It shows its superior
performance compared to a NSGA-II and PAES algorithms. Finally, the
conclusion is given
کلیدواژه‌ها [English]
- Redundancy Allocation Problem
- Response Surface Methodology
- Multi-objective Reliability Optimization
- Competitive Algorithm
- Genetic Algorithm
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