A multiobjective human evolutionary optimization algorithm for complex engineering problems. [PDF]
Tarunika D, Sharma A.
europepmc +1 more source
The “Zhang Xuefeng Effect”: Information Intervention and the College Admission Problem in China
ABSTRACT Information regarding the quality of colleges and labor‐market prospects of majors plays an important role in parents' and students' school‐choice decisions, particularly when these decisions are crucially relevant to the students' long‐run career choices and life earnings.
Yutong Huo, Yun Wang
wiley +1 more source
Chaos-Embedded Multi-Objective Intelligent Optimization-Based Explainable Classification Model for Determining Cherry Fruit Fly Infestation Levels Using Pomological Data. [PDF]
Yildirim S +3 more
europepmc +1 more source
Abstract BACKROUND The pseudo‐fruit of Rosa canina L. is a rich source of bioactive compounds with antioxidant, anti‐inflammatory, anti‐cancer, anti‐diabetic, anti‐aging, and antimicrobial activities. The aim of the present study is the optimization of a green process based on the action of two hydrolytic enzyme preparations, namely Pectinex® Ultra ...
Zafeiria Lemoni +6 more
wiley +1 more source
Multi-objective optimization of a regional biogas supply chain using organic waste. [PDF]
Malashin IP +5 more
europepmc +1 more source
Exploring supported ionic liquids for IgY antibody purification
Abstract BACKGROUND Immunoglobulin Y (IgY), a scalable alternative to mammalian antibodies, typically found in hen's egg yolk, has gained attraction in diagnostic and therapeutic applications. However, its purification from egg yolk remains challenging due to the complex matrix and limitations of conventional techniques. Supported Ionic Liquids (SILs),
Amanda RP Silva +4 more
wiley +1 more source
Dynamic multi-objective aviation maintenance scheduling: an algorithmic framework. [PDF]
Qi L, Lv C, Zhang T, Wang Y.
europepmc +1 more source
Non‐Stationary Dry‐Spell Hazard Probabilities for Spain
This study assesses long‐term changes in dry‐spell hazard probabilities across Spain (1961–2024) using a novel non‐stationary extreme value framework applied to daily precipitation records from a dense observational network. Results show that dry‐spell duration and associated return levels are dominantly stationary, with non‐stationary models providing
S. M. Vicente‐Serrano +13 more
wiley +1 more source
An improved multi-objective animated oat optimization algorithm for resource-constrained construction project organization design. [PDF]
Xue Q +5 more
europepmc +1 more source
Application of Machine Learning in Heat Treatment Process Design of Carburized Steel
To accelerate heat treatment design, we constructed a closed‐loop machine learning strategy involving multi‐source datasets and feature screening. The optimized model accurately predicts hardness and friction coefficients, successfully guiding the process optimization for two typical carburized steels with high experimental consistency.
Di Jiang +5 more
wiley +1 more source

