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Multi-Objective Modeling of Green Vehicle Routing Problem Using a Hybrid Extreme Learning Machine (ELM) and Genetic Programming (GP)

کلیدواژه: Vehicle Routing Problem, Multi-Objective Model, Delivery and Pickup, Probabilistic demand, Extreme Learning Machine, Genetic Programming

نویسندگان: Ershadi Mohammad Mehdi, Momeni Sharifabad Mahsa, Ershadi Mohammad Javad, Azizi Amir, Behzadi pour Samaneh

ناشر: مدیریت زنجیره تامین - Supply Chain Management

Transportation plays a significant role in the gross domestic product and oil consumption of every nation. In our country, a combination of recent sanctions and underdeveloped rail, air, and sea transportation systems has led to an increased reliance on road transport. Unfortunately, road transport ... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

12 بازدید

مشاهده/دانلود

Simulation of Groundwater Level Using the Hybrid Model Wavelet-Self Adaptive Extreme Learning Machine

کلیدواژه: Artificial intelligence,Groundwater aquifer,Hybrid model,Kabodarahang,Simulation

نویسندگان: MALEKZADEH MARYAM, KARDAR SAEID, SHABANLOU SAEID

ناشر: تحقیقات آب و خاک ایران - Iranian Journal of Soil and Water Research

In present study, the groundwater level of the Kabodarahang region located in Hamadan Province was simulated using novel techniques such as Self-Adaptive Extreme Learning Machine (SAELM) and WaveletSelf-Adaptive Extreme Learning Machine (WA-SAELM). Firstly, the effective lags were detected using the... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

Selection of Green Suppliers Using a Hybrid Multi-Objective Programming and Rough Set Model

کلیدواژه: Green supply chain management, supplier selection, multi-objective programming, rough set theory, Iran Khodro

نویسندگان: Poursmaeil Hossein, Bagherzadeh Khajeh Majid, Rahmani Kamaleddin, Bafandeh Zendeh Alireza, Pasbani Mohammad

ناشر: آموزش، تربیت و توسعه پایدار - Training, Education, and Sustainable Development

This study aims to design and implement a precise and scientific Model for selecting green suppliers by integrating Multi-Objective mathematical Programming and rough set theory in the Iran Khodro company. The research is applied–developmental in purpose and descriptive–analytical in method. Data we... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

10 بازدید

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Prediction of Groundwater Level Changes Using Hybrid Wavelet Self-Adaptive Extreme Learning Machine Model-Observation Well of Sarab Qanbar, Kermanshah

کلیدواژه: Groundwater level,Self-Adaptive Extreme Learning Machine (SAELM),Uncertainty analysis,Wavelet transform

نویسندگان: Yosefvand f., SHABANLOU S.

ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of Water and Soil Science

In this study, the groundwater level (GWL) of the Sarab Qanbar region located in the south of Kermanshah, Iran, was estimated using the Wavelet-Self-Adaptive Extreme Learning Machine (WA-SAELM) Model. An artificial intelligence method called “ Self-Adaptive Extreme Learning Machine” an... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

A Hybrid Model Based on Multi-Attribute Decision Making and Fuzzy Multi-Objective Mathematical Programming for Stock Portfolio Evaluation and Selection Using Z-Number Approach

کلیدواژه: Multi-criteria Decision Making,Stocks Selection,Fuzzy AHP,Fuzzy Multi-objective Programming,Z-Number

نویسندگان: Kanaani A.H., Feylizadeh M.R., Hendalianpour A.

ناشر: تحقیق در عملیات در کاربردهای آن - Journal of Operational Research in its Applications

Selecting and creating a stock portfolio on the stock exchange is one of the most important competitive tools in this century. However, various types of research show that the success rate of stock selection and portfolio projects is not very high. Accordingly, it is necessary to pay special attenti... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

17 بازدید

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Hybrid Learning Machine Metaheuristic Model for Estimating Groundwater Level

کلیدواژه: Groundwater level,Weighted least square support vector machine,Particle swarm optimization,Gravitational search algorithm-Efficiency

نویسندگان: Khosravi Shiva, Robati Amir

ناشر: مهندسی عمران مدرس - Modares Civil Engineering journal

Groundwater is the most reliable source of supply for potable water and supports a wide array of economic and environmental services. There is a significant concern that groundwater levels are declining due to intense aquifer use. The sustainable management of groundwater resources requires good pla... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

مشاهده/دانلود

Improving the Energy Management of Parallel Hybrid Electric Vehicle by Dynamic Programming Using Electro-Thermal Model of Battery

کلیدواژه: Battery Temperature,Dynamic Programming,Energy Management,Hybrid Electric Vehicles,Thermal Management

نویسندگان: RAHMANI ZAHRA,

ناشر: کنترل - Journal of Control

In this paper, an offline energy management system (EMS) is proposed for parallel hybrid electric Vehicles (HEVs). The proper energy management system is necessary for dividing torque between electrical motor and Internal Combustion Engine (ICE). The battery is a crucial component of hybrid electric... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

9 بازدید

مشاهده/دانلود

Multi-Objective Portfolio Optimization Model with Fuzzy-Robust Hybrid Approach (As a case:Tehran Stock Exchange)

کلیدواژه: portfolio, Multi-Objective optimization, Zimmermann fuzzy approach, Minimax regret, robustness

نویسندگان: Jaberi Mahsa, Mohammadi Emran, Azizi Amir

ناشر: بورس اوراق بهادار - JOURNAL OF SECURITIES EXCHANGE

The novel theory of the portfolio optimization has developed based on the fundamental Markowitz Model. The Markowitz Model is unique in terms of theory, but its weaknesses prevent the use of this Model in practice. In this Model, the return rate is extracted based on past data, but in this research,... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

5 دانلود

9 بازدید

مشاهده/دانلود

A Hybrid Model of Stochastic Dynamic Programming and Genetic Algorithm for Multistage Portfolio Optimization with GlueVaR Risk Measurement

کلیدواژه: Portfolio optimization,Stochastic dynamic programming,GlueVaR risk measurement,Genetic algorithm,Scenario constructiom

نویسندگان: Ghandehari Maryam, AZAR ADEL, YAZDANIAN AHMAD REZA, Golarzi Gholamhossein

ناشر: مدیریت صنعتی - Industrial Management Journal

Objective: The selection of an optimal investment portfolio for a long-term period does not seem logical. So the investors should update their investment portfolios over specific time periods if needed. Since the Problem dimensions significantly increase after the periods, a definitive solution to t... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

12 بازدید

مشاهده/دانلود

A Hybrid Heuristic Algorithm to Provide a Multi-Objective Fuzzy Supply Chain Model with a Passive Defense Approach

کلیدواژه: Supply chain,Sustainability,Passive defense,Multi-objective fuzzy optimization,Meta-heuristic algorithm

نویسندگان: Ayoughi Hamidreza, Dehghani Poudeh Hossein, Raad Abbas, Talebi Davood

ناشر: کنترل و بهینه سازی در ریاضیات کاربردی - CONTROL AND OPTIMIZATION IN APPLIED MATHEMATICS

In this paper, a stable Multi-Objective Model of location, inventory, and supply chain Routing is presented under conditions of uncertainty and using a passive defense approach. Parameters such as demand, cost of setting up the facility and cost of maintaining inventory are considered uncertain and ... ادامه

سال:2022

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

7 بازدید

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