Results 231 to 240 of about 1,432,311 (298)

Implementation of Modified Effective Butterfly Optimizer in Solving Multi-Objective Pareto Optimal Power Flow Problem with Renewable Uncertainties. [PDF]

Biomimetics (Basel)
Işıker H, Akdağlı A, Yamaçlı V, Yetgin Z, Barutçu İÇ, Abacı K, Gözükara F.   +6 more
europepmc   +1 more source

Foundational Machine‐Learning Interatomic Potential for Simulating Chemically Complex Ni‐Based Superalloys

Advanced Engineering Materials, Volume 28, Issue 17, 9 September 2026.
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma, Sarath Menon, Fritz Körmann, Thomas Hammerschmidt, Ralf Drautz   +4 more
wiley   +1 more source

Problem-based learning design multi-objective optimization to smart education: a digital transformation digital literacy model of higher education. [PDF]

Sci Rep
Junce W.
europepmc   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, Volume 8, Issue 9, September 2026.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Sequence sort: A new non-dominated sorting algorithm for evolutionary multi-objective optimization. [PDF]

Sci Rep
Yi Y, Chen W, Shi Y.
europepmc   +1 more source

Artificial Intelligence and Machine Learning for Oxygen Reduction Reaction: A Review on Catalyst Discovery and Durability Modeling

Electroanalysis, Volume 38, Issue 9, September 2026.
The oxygen reduction reaction (ORR) at the proton exchange membrane fuel cells (PEMFC) cathode suffers from sluggish kinetics, high platinum loading requirements, and progressive catalyst degradation. This review examines how artificial intelligence (AI) and machine learning (ML) are reshaping the discovery and durability assessment of ORR ...
Aaditya Sharma, Jayachandiran K, Shankar Raman Dhanushkodi, Haijiang Wang, Zhongwei Chen   +4 more
wiley   +1 more source

Multi-objective optimization in population pharmacokinetic model selection and optimization: application of NSGA-II in pyDarwin. [PDF]

J Pharmacokinet Pharmacodyn
Li X, Sale M, Craig J, Nieforth K, Mazur A, Bies RR.   +5 more
europepmc   +1 more source

Optimization Study of Valve Closing Schemes for Long‐Distance Gravity Flow Water Supply Systems Based on the NSGA‐II Algorithm

Engineering Reports, Volume 8, Issue 9, September 2026.
Taking the Ruyang Water Supply Project of Qianping Reservoir as the research object, a model was built with Bentley Hammer and valve closure schemes were optimized using the NSGA‑II algorithm. Results show that multistage closure is superior to single‑stage, and the optimized three‑stage scheme provides better water hammer protection, offering ...
Ke Wang, Pan Zi, Zhihao Tang, Yuyang Zhang, Yuan Yao, Xianqi Zhang   +5 more
wiley   +1 more source

Sustainable Mix Design of Sugarcane Bagasse Ash Concrete via AutoML-Assisted Multi-Objective Optimization. [PDF]

Materials (Basel)
Cui Y, Fei Z, Zhao Y, Yang B, Liang S.
europepmc   +1 more source

Optimizing Enterprise Capital Structure Allocation Using the NSGA‐III Algorithm

Engineering Reports, Volume 8, Issue 9, September 2026.
This work applies the NSGA‐III algorithm with nondominated sorting and reference‐point guidance to corporate capital‐structure optimization, tackling uneven Pareto‐front distribution and low convergence efficiency in high‐dimensional multiobjective optimization.
Bing Li
wiley   +1 more source