نتایج جستجو برای: nsga ii

تعداد نتایج: 580263  

Journal: :IEEE open journal of the Communications Society 2022

Optimum controller placement in the presence of several conflicting objectives has received significant attention Software-Defined Wide Area Network (SD-WAN) deployment. Multi-objective evolutionary algorithms, like Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Particle Swamp Optimization (MOPSO), have proved helpful solving Controller Placement Problem (CPP) SD-WAN. However, these a...

Distribution centers (DCs) play important role in maintaining the uninterrupted flow of goods and materials between the manufacturers and their customers.This paper proposes a mathematical model as the bi-objective capacitated multi-vehicle allocation of customers to distribution centers. An evolutionary algorithm named non-dominated sorting ant colony optimization (NSACO) is used as the optimi...

Reza Tavakkoli-Moghaddam Samaneh Noori-Darvish

We consider an open shop scheduling problem with setup and processing times separately such that not only the setup times are dependent on the machines, but also they are dependent on the sequence of jobs that should be processed on a machine. A novel bi-objective mathematical programming is designed in order to minimize the total tardiness and the makespan. Among several mult...

Journal: :journal of optimization in industrial engineering 2014
behrouz afshar-nadjafi arian razmi-farooji

time-dependent vehicle routing problem is one of the most applicable but least-studied variants of routing and scheduling problems. in this paper, a novel mathematical formulation of time-dependent vehicle routing problems with heterogeneous fleet, hard time widows and multiple depots, is proposed. to deal with the traffic congestions, we also considered that the vehicles are not forced to come...

Journal: :Algorithms 2023

This paper presents NSGA-PINN, a multi-objective optimization framework for the effective training of physics-informed neural networks (PINNs). The proposed uses non-dominated sorting genetic algorithm (NSGA-II) to enable traditional stochastic gradient algorithms (e.g., ADAM) escape local minima effectively. Additionally, NSGA-II enables satisfying initial and boundary conditions encoded into ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان تهران - دانشکده مهندسی صنایع 1393

امروزه سیستم های نوین کنترل تولید و موجودی ها به دنبال حذف کامل انبارها و در واقع کاهش موجودی ها به حداقل مقدار ممکن می باشند. در این راستا با تکیه بر مدیریت زنجیره تامین و ایجاد روابط بلندمدت با تامین-کنندگان و مشتریان به میزان قابل توجهی می توان موجودی انبارها را کاهش داد. مسائل مطرح در حوزه بازپرسازی موجودی با هدف مدیریت بهینه اقلام مختلف در قفسه های انبار و یا مراکز فروش انجام می شود. در با...

Journal: :international journal of smart electrical engineering 2013
yashar hashemi khalil valipour

an approach for assignment of the optimal location and tap changer adjustment related to flux-lock type superconducting fault current limiters with tap changer (tc-flsfcl) is used in this paper by debating the reduction of fault current flowing from each device and enhancement of reliability varying with customer type in a distribution network connected with distribution generation (dg). tc-fls...

2005
Daniel Kunkle

The following MOEA algorithms are briefly summarized and compared: • NPGA Niched Pareto Genetic Algorithm (1994) – NPGA II (2001) • NSGA Non-dominated Sorting Genetic Algorithm (1994) – NSGA II (2000) • SPEA Strength Pareto Evolutionary Algorithm (1998) – SPEA2 (2001) – SPEA2+ (2004) – ISPEA Immunity SPEA (2003) • PAES Pareto Archived Evolution Strategy (2000) – M-PAES Mimetic PAES (2000) • PES...

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2009
ehsan samadani amir hossein shamekhi mohammad hassan behroozi reza chini

diesel engine emission standards are being more stringent as it gains more publicity in industry and transportation. hence, designers have to suggest new controlling strategies which result in small amounts of emissions and a reasonable fuel economy. to achieve such a target, multi-objective optimization methodology is a good approach inasmuch as several types of objective are minimized or maxi...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه بوعلی سینا - دانشکده مهندسی 1390

در این پایان نامه جایابی بهینه ادوات facts شامل svc , tcsc , statcom ,upfc از نظر نوع، مکان و ظرفیت انجام می گردد .بدین منظور دو مورد از بحرانی ترین پیشامد های تصادفی قطع خطوط در سیستم قدرت ، که با استفاده از روش رتبه بندی پیشامد مشخص شده اند به همراه حالت پایه سیستم به صورت همزمان در نظر گرفته می شوند . اهداف مورد نظر تحت این شرایط شامل بهبود انحراف ولتاژ باس ها ، کاهش بار گیری خطوط ، کاهش تلف...

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