Results 191 to 200 of about 88,991 (314)

Optimization of EB/SM Distillation Processes Based on Divided Wall Columns in a PO/SM Process with a Chaos Differential Evolution Algorithm. [PDF]

ACS Omega, 2022
Liu Z, Zhao X, Zhang J, Du Z, Wang J.
europepmc   +1 more source

Improved Differential Evolution Algorithm and Its Applications

, 2011
[[abstract]]在本文中，我們提出了兩種微分進化演算法(Differential Evolution Algorithm，DE)之改善方式，分別為田口突變微分進化演算法(Taguchi-Mutation Differential Evolution Algorithm，TMDE)與田口交配微分進化演算法(Taguchi-Crossover Differential Evolution Algorithm，TCDE)，TMDE是將田口方法導入DE中進行突變 ...
Guo Ching-Yi, 郭青沂
core  

Artificial Intelligence–Based Online Symptom Assessment Tools for Systemic Lupus Erythematosus Diagnosis: Patient Perspectives

Arthritis Care &Research, EarlyView.
Objective The objective of this article is to identify perceptions of patients with systemic lupus erythematosus (SLE) regarding artificial intelligence (AI)–based online symptom assessment tools, and the potential of these tools to address diagnostic barriers.
Olivia A. Stein, Jennifer L. F. Lee, Evelyne Vinet, Arielle Mendel, Christian A. Pineau, Fares Kalache, Louis‐Pierre Grenier, Sasha Bernatsky   +7 more
wiley   +1 more source

Rich vehicle routing optimization based on variable neighborhood descent and differential evolution algorithm. [PDF]

Sci Rep
Zhang H, Zhang Y, Zhao F, Zhou L, Zhou B.   +4 more
europepmc   +1 more source

Real‐World Safety and Effectiveness of JAK Inhibitors in Systemic Sclerosis: A Propensity‐Matched Study from the EUSTAR Cohort

Arthritis Care &Research, Accepted Article.
Objective JAK inhibitors (JAKis) have shown promising effects in early‐phase studies of SSc. We aimed to assess the safety and explore effectiveness of JAKis compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the EUSTAR cohort was performed.
Stefano Di Donato, Marie‐Elise Truchetet, Marco Minerba, Oliver Distler, Juan José Alegre Sancho, Yolanda Braun‐Moscovici, Christina Bergmann, Petros Sfikakis, Jeska K de Vries‐Bouwstra, Murray Baron, Silvia Bellando‐Randone, Lorenzo Dagna, Christopher P Denton, Madelon C Vonk, Vanessa Smith, Ivan Castellvi, Gabriela Riemekasten, Andra Balanescu, Masataka Kuwana, Maria De Santis, Kamal Solanki, Anastas Batalov, Vahan Mukuchyan, Marco Matucci‐Cerinic, Yannick Allanore, Francesco Del Galdo, Michael Hughes, EUSTAR Collaborators   +27 more
wiley   +1 more source

Advanced modeling and parameter estimation of PEM fuel cells using the g-function and self-adaptive differential evolution algorithm. [PDF]

Sci Rep
Ćalasan M, Vujošević S, Micev M, Aleem SHEA, Azzopardi B.   +4 more
europepmc   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

A HyChem Model of Polyoxymethylene Dimethyl Ether 5 Optimized with a Differential Evolution Algorithm. [PDF]

ACS Omega
Li G, Tao Y.
europepmc   +1 more source

Optimizing quantum cloning circuit parameters based on adaptive guided differential evolution algorithm. [PDF]

J Adv Res, 2021
Houssein EH, Mahdy MA, Eldin MG, Shebl D, Mohamed WM, Abdel-Aty M.   +5 more
europepmc   +1 more source

Performance of Differential Evolution and Particle Swarm Methods on Some Relatively Harder Multi-modal Benchmark Functions

Our objective in this paper is to compare the performance of the Differential Evolution (DE) and the Repulsive Particle Swarm (RPS) methods of global optimization. To this end, some relatively difficult test functions have been chosen.
Mishra, SK
core