Suchergebnisse - "Many-objective evolutionary algorithm"

Multifaceted evolution focused on maximal exploitation of domain knowledge for the consensus inference of Gene Regulatory Networks

Autoren: Adrián Segura-Ortiz Karen Giménez-Orenga José García-Nieto et al.

Quelle: RIUMA. Repositorio Institucional de la Universidad de Málaga
Universidad de Málaga

Schlagwörter: Inteligencia artificial - Aplicaciones médicas, Consensus, Inference, Genómica, Gene regulatory network, Many-objective evolutionary algorithm, Ingeniería genética, Bioinformática, Ingeniería biomédica, Expression data, Genética

Zugangs-URL: https://hdl.handle.net/10630/39277

Many-objective evolutionary algorithm based on three-way decision

Autoren: Zhihua Cui Bingting Li Zhuoxuan Lan et al.

Quelle: Egyptian Informatics Journal, Vol 24, Iss 3, Pp 100388- (2023)

Schlagwörter: Many-objective optimization problems, Many-objective evolutionary algorithm, Three-way decision, Convergence, Diversity, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1110866523000440; https://doaj.org/toc/1110-8665

Zugangs-URL: https://doaj.org/article/dc461d16a0ea4518a1006a02e39acbd4

Distribution System Reconfiguration Considering Constraints for Asset Planning / 配電系統における設備形成制約を考慮した標準系統最適化

Autoren: Ichiro Nishizaki Kazuhisa Hikoyama Seigo Terayama et al.

Quelle: 電気学会論文誌Ｂ（電力・エネルギー部門誌） / IEEJ Transactions on Power and Energy. 2023, 143(8):492

Novel Approaches on Reactor Core Design Optimization Problem

Autoren: Marco André Abud Kappel Ivan Napoleão Bastos Caio Lucas dos Santos Souza et al.

Quelle: Vetor, Vol 31, Iss 1 (2021)

Schlagwörter: Nuclear reactor core design, Optimization, Differential Evolution, Invasive Weed Optimization, Many-Objective Evolutionary Algorithm, Engineering (General). Civil engineering (General), TA1-2040, Mathematics, QA1-939

Dateibeschreibung: electronic resource

Relation: https://seer.furg.br/vetor/article/view/13498; https://doaj.org/toc/0102-7352; https://doaj.org/toc/2358-3452

Zugangs-URL: https://doaj.org/article/891fddcccaa3459dac8ff0dc3de9c385

Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach

Autoren: González, Jesus Ortega Lopera, Julio Damas Hermoso, Miguel et al.

Schlagwörter: Many-objective evolutionary algorithm, Cooperative co-evolutionary algorithm, Lexicographic optimization, Feature selection, Wrapper approach

Relation: Lecture Notes in Computer Science;11507; http://hdl.handle.net/10481/57947

Verfügbarkeit: http://hdl.handle.net/10481/57947
https://doi.org/10.1007/978-3-030-20518-8_39

Novel Approaches on Reactor Core Design Optimization Problem ; Novas Abordagens sobre o Problema de Otimização do Projeto do Núcleo do Reator

Autoren: Abud Kappel, Marco André Napoleão Bastos, Ivan Lucas dos Santos Souza, Caio et al.

Quelle: VETOR - Journal of Exact Sciences and Engineering; Vol. 31 No. 1 (2021); 104-117 ; VETOR - Revista de Ciências Exatas e Engenharias; v. 31 n. 1 (2021); 104-117 ; 2358-3452 ; 0102-7352

Schlagwörter: Nuclear reactor core design, Optimization, Differential Evolution, Invasive Weed Optimization, Many-Objective Evolutionary Algorithm, Projeto do núcleo do reator, Otimização, Evolução Diferencial

Dateibeschreibung: application/pdf

Relation: https://periodicos.furg.br/vetor/article/view/13498/9115; https://periodicos.furg.br/vetor/article/view/13498

Verfügbarkeit: https://periodicos.furg.br/vetor/article/view/13498

An efficient interval many-objective evolutionary algorithm for cloud task scheduling problem under uncertainty

Autoren: Zhang, Zhixia Zhao, Mengkai Wang, Hui et al.

Schlagwörter: Interval optimization, Interval many-objective optimization, Many-objective evolutionary algorithm, Cloud task scheduling, OPTIMIZATION ALGORITHM, Computer Science, Information Systems

Relation: INFORMATION SCIENCES; http://ir.ia.ac.cn/handle/173211/46790

Verfügbarkeit: http://ir.ia.ac.cn/handle/173211/46790
https://doi.org/10.1016/j.ins.2021.11.027

Influence of Difference among Crossover Method for Many-objective Evolutionary Algorithms / 多数目的進化計算手法における交叉手法の差異の影響

Autoren: Akira Oyama Ryoji Tanabe Shouhei Maruyama et al.

Quelle: The Proceedings of OPTIS. 2016, :2106

A Cyber-physical Systems Approach to Optimizing Internet of Vehicles Architecture with Rapidly Evolving Technology

Autoren: Curry, David M. Dagli, Cihan H.

Quelle: Engineering Management and Systems Engineering Faculty Research & Creative Works

Schlagwörter: Architecture, CPS, Cyber-physical system, Internet of vehicles, IOV, Many-objective evolutionary algorithm, MaOEA, Optimization, Operations Research, Systems Engineering and Industrial Engineering

Relation: https://scholarsmine.mst.edu/engman_syseng_facwork/1548

Verfügbarkeit: https://scholarsmine.mst.edu/engman_syseng_facwork/1548
https://doi.org/10.1007/978-3-319-72329-7_12