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Problems Formulation and Their Solutions for Modeling-Driven Optimization Using Machine Learning

Year: 2024

Type: article

Source: IEEJ Transactions on Electronics Information and Systems

DOI: 10.1541/ieejeiss.145.101

Authors: Eitaro Aiyoshi, Kenichi Tamura, Keiichiro Yasuda

Institution: Tokyo Metropolitan University

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Japan Society for the Promotion of Science

Award: 循環・螺旋型システムズアプローチに基づくデータ駆動型問題生成機能統合最適化法

OpenAlex ID: W4405954590

FWCI: 0.201

Cites: 13

Cited by: 1

Related to: 10