نتایج جستجو برای: الگوریتم mopso

تعداد نتایج: 22749  

Journal: :Rel. Eng. & Sys. Safety 2015
Jianguang Fang Yunkai Gao Guangyong Sun Chengmin Xu Qing Li

Structural optimization for vehicle fatigue durability signifies an exciting topic of research to improve its long-term safety and performance with minimum cost. Nevertheless, majority of the existing studies has been dealing with deterministic optimization and has not involved uncertainties, which could lead to an unstable or even useless design in practice. In order to simultaneously enhance ...

Journal: :J. Simulation 2015
M. Güller Y. Uygun B. Noche

One of the most important aspects affecting the performance of a supply chain is the management of inventories. Managing inventory in complex supply chains is typically difficult, and may have a significant impact on the customer service level and system-wide costs. The main challenge of inventory management is that almost every inventory problem involves multiple and conflicting objectives tha...

Journal: :Expert Syst. Appl. 2012
Elahe Fallah-Mehdipour Omid Bozorg Haddad Mahmoud M. Rezapour Tabari Miguel A. Mariño

The time-cost trade-off problem is a known bi-objective problem in the field of project management. Recently, a new parameter, the quality of the project has been added to previously considered time and cost parameters. The main specification of the time-cost trade-off problem is discretization of the decision space to limited and accountable decision variables. In this situation the efficiency...

Journal: :Journal of Industrial and Management Optimization 2022

<p style='text-indent:20px;'>A combined location-routing-inventory system (CLRIS) in a three-echelon supply chain network is studied with environmental considerations. Specifically, bi-objective mixed integer programming model formulated for the CLRIS to deal trade-offs between total cost and carbon-capped difference (CCD). A multi-objective particle swarm optimization (MOPSO) heuristic s...

Journal: :Complex & Intelligent Systems 2021

Abstract Multiobjective particle swarm optimization (MOPSO) algorithm faces the difficulty of prematurity and insufficient diversity due to selection inappropriate leaders inefficient evolution strategies. Therefore, circumvent rapid loss population premature convergence in MOPSO, this paper proposes a knowledge-guided multiobjective using fusion learning strategies (KGMOPSO), which an improved...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه صنعتی خواجه نصیرالدین طوسی 1390

امروزه، با توجه به رقابت صنعتی، مسئله زمان بندی نسبت به گذشته توجه بیشتر محققین را به خود جلب نموده است، زیرا این مسئله منجر به استفاده بهینه از تسهیلات تولید می شود در حالیکه هزینه ها کاهش می یابند. در این پایان نامه، مسئله جریان کارگاهی انعطاف پذیر دو مرحله ای بدون وقفه با در نظر گرفتن محدودیت های زمان های راه اندازی وابسته/غیروابسته، زمان های آماده سازی کار، ماشین های موازی یکسان/ غیر یکسا...

Journal: :Wireless Communications and Mobile Computing 2021

Given the growth of wireless networks and increase advantages applications communication networks, especially mobile ad hoc (MANETs), this type network has attracted attention users researchers more than before. The benefit these types in various kinds environments is that MANET does not require to hardware infrastructure communicate send receive data packets within network. It one main reasons...

اغلب مسائل تصمیم‌گیری در دنیای واقعی به‌ویژه در زمینه مدیریت منابع آب، مسائل چندهدفه‌ای هستند که تصمیم‌گیری بر اساس اهداف متفاوت و متضاد انجام می‌شود. با توجه به دامنه وسیع کاربرد این‌گونه مسائل، مدل‌های متفاوتی برای حل آن‌ها پیشنهاد شده است، که از مهم‌ترین آن‌ها می‌توان به مدل‌های بهینه‌سازی چندهدفه NSGA-II و MOPSO اشاره کرد. هدف از این پژوهش مقایسه عملکرد الگوریتم‌های NSGA-II و MOPSO در حل مس...

Journal: :Water 2022

Reducing energy consumption and maintenance costs of a pumping system is seen as an important but difficult multi-objective optimization problem. Many evolutionary algorithms, such particle swarm (PSO), (MOPSO), non-dominated sorting genetic algorithm II (NSGA-II) have been used. However, lack comparison between these approaches poses challenge to the selection approach for stormwater drainage ...

2005
Julio E. Alvarez-Benitez Richard M. Everson Jonathan E. Fieldsend

In extending the Particle Swarm Optimisation methodology to multi-objective problems it is unclear how global guides for particles should be selected. Previous work has relied on metric information in objective space, although this is at variance with the notion of dominance which is used to assess the quality of solutions. Here we propose methods based exclusively on dominance for selecting gu...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید