Results 31 to 40 of about 20,451 (264)
Advanced Engineering Materials, EarlyView.A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Construction of Generating Feasible Subsets in the Knapsack Problem
Доклады Белорусского государственного университета информатики и радиоэлектроникиA method for constructing a group of generating feasible subsets in the knapsack problem under the condition that the non-dominance depth of a given Pareto layer is greater than zero is developed.
S. V. Chebakov, L. V. Serebryanaya
doaj +1 more source
Advanced Engineering Materials, EarlyView.We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
Algorithm of finding a set of Pareto on a final set of initial data
Цифровая трансформация, 2017 A two-stage algorithm for solving the optimization task for finding the Pareto set on a given finite set of initial data N is proposed. A method is developed for finding a subset of dominated elements of the initial set N by constructing the Pareto ...
S. V. Chebakov, L. V. Serebryanaya
doaj +2 more sources
Journal of Telecommunications and Information Technology, 2003 Multiple criteria evolutionary algorithms, being essentially parallel in their character, are a natural instrument of finding a representation of entire Pareto set (set of solutions and outcomes non-dominated in criteria space) for vector optimisation ...
Marcin Szczepański +1 more
doaj +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
Advanced Engineering Materials, EarlyView.This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Directional Pareto Front and Its Estimation to Encourage Multi-Objective Decision-Making
IEEE Access, 2023 This work introduces the following concepts of directional and estimated directional Pareto front to encourage multi-objective decision making, especially when the Pareto front exists in limited regions in the objective space. The general output of multi-
Tomoaki Takagi +2 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.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 +4 more
wiley +1 more source
OPTIMIZATION OF THE PROBLEM SOLVING WITH LIMITED RESOURCE
Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019 The knapsack problem is analyzed on the basis of the mathematical model, which uses the means of multicriterial optimization. The method which defines possible redundancy of the initial data set is offered for the problem. The algorithm of the transition
S. V. Chebakov, L. V. Serebryanaya
doaj