کنفرانس مهندسی برق ایران

صفحه اصلی / سی و سومین کنفرانس بین المللی مهندسی برق

A fair-optimal solution for multi-objective optimization based on Shapley value

نویسندگان :

Mohammadreza Mohammadhasani¹ Habib Rajabi Mashhadi²

1- دانشگاه فردوسی مشهد 2- دانشگاه فردوسی مشهد

کلمات کلیدی :

multi-objective optimization،Shapley value،decision-making،post-Pareto،Pareto front،Tchebycheff function

چکیده :

Multi-objective optimization (MOO) is a fundamental approach in decision-making that addresses the complexities of balancing multiple conflicting objectives. While MOO aims to identify solutions that balance trade-offs among competing objectives, decision-makers often require a singular optimal solution for effective implementation. This paper highlights the limitations of existing methodologies, particularly their reliance on high-level information and the weighted sum approach, which is inadequate for non-convex problems. To overcome these challenges, a novel framework based on the Shapley value and Tchebycheff function is proposed to ensure fairness in assigning weights to objective functions without relying on external inputs. This approach utilizes Tchebycheff functions to identify points on the Pareto front that correspond to these weights, thereby enhancing decision-making in MOO by providing an equitable post-Pareto mechanism for selecting fair-optimal solutions. The paper concludes with a discussion of results and their implications for future research in MOO.

لیست مقالات

لیست مقالات بایگانی شده

An LMI-based Robust Fuzzy Controller for Blood Glucose Regulation in Type 1 Diabetes

Mohammadreza Ganji Arjenaki - Mahdi Pourgholi

کنترل توربین بادی با استفاده از کنترل‌کننده پیش‌بین تابعی توسعه‌یافته

آرمین باقری - محمد حائری

Study of Multiple Teeth Linear Switched and Hybrid Reluctance Motors

Mohammad Amin Jalali Kondelaji - Ali Ghaffarpour - Mojtaba Mirsalim

A Robust Video Steganography using 3D-CNN and Maximum Mean Discrepancy Cost Function

Ali Ghofrani - Rahil Mahdian Toroghi - Hassan Zareian

A modified Dempster Shafer approach to classification in surgical skill assessment

Arash Iranfar - Mohammad Soleymannejad - Behzad Moshiri - Hamid D. Taghirad

Flexible Generation Expansion Planning Considering Representative Days of Load and Renewable Variations

Peyman Amirian - Zeinab Maleki - Mohammad-Amin Pourmoosavi - Turaj Amraee

A Modified Low Rank Learning Based on Iterative Nuclear Weighting in Ripplet Transform for Denoising MR Images

Nooshin Farhangian - Mansour Nejati Jahromi - Mahdi Nouri

Three-Winding Coupled-Inductor-based Boost Converter with Voltage Multiplier Cell and Active Clamp Circuit for Low-Power Photovoltaic Application

Danesh Amani - Ali Valizadeh - Reza Beiranvand - Ali Yazdian Varjani

Synergy of Deep Learning and Artificial Potential Field Methods for Robot Path Planning in the Presence of Static and Dynamic Obstacles

Mohammad Amin Basiri - Shirin Chehelgami - Erfan Ashtari - Mehdi Tale Masouleh - Ahmad Kalhor

طراحی و پیاده‌سازی آرایه انعکاسی چند پرتویی پهن باند با قطبش های خطی و دایروی هم‌زمان با تنظیم فاز ثابت مرجع در سطح آرایه

مجید کریمی پور

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 41.7.4