Results 131 to 140 of about 190,584 (312)
Design and Analysis of Compression–Torsion Coupling Metamaterials Using the Golden Section Method
A novel compression–torsion metamaterial is engineered using inclined rods and symmetry breaking. To optimize its torsional performance, the golden section method is employed. The mechanical response of the metamaterial is validated through both numerical analysis and experimental validation.
Amirhossein Hassani, Sara Bagherifard
wiley +1 more source
Comparative study on the application of evolutionary optimization techniques to orbit transfer maneuvers [PDF]
Orbit transfer maneuvers are here considered as benchmark cases for comparing performance of different optimization techniques in the framework of direct methods. Two different classes of evolutionary algorithms, a conventional genetic algorithm and an
Avanzini, Giulio +3 more
core
A novel genetic algorithm for evolvable hardware
Evolutionary algorithms are used for solving search and optimization problems. A new field in which they are also applied is evolvable hardware, which refers to a self-configurable electronic system.
Lambert, C +5 more
core +1 more source
Evolutionary algorithm-driven screw press design
This paper explores the integration of evolutionary algorithms (EAs) into the process of designing manufacturing machines. The goal is to partially substitute the work of the human designer with modern artificial intelligence methods.
David Fait +2 more
doaj +1 more source
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati +11 more
wiley +1 more source
Functionally graded metal–ceramic femoral stems are engineered through continuous UMAT‐based stiffness tailoring, eliminating discrete material interfaces while enhancing biomechanical compatibility. Low‐index power‐law gradation optimizes load transfer, reduces stress shielding, and controls implant–bone micromotion, highlighting a materials‐design ...
Rihem Nouira, Sameh Elleuch, Hanen Jrad
wiley +1 more source
Preference-inspired Co-evolutionary Algorithms [PDF]
The simultaneous optimisation of many objectives (say, in excess of 3), in order to obtain a full and satisfactory set of trade-off solutions to support a posteriori decision-making, remains challenging.
Wang, Rui
core
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Application of an evolutionary algorithmto simulation of the co2 emission permits marketwith purchase prices [PDF]
This article describes the problem of the CO2 emission permits market and introduces several important changes to the standard model, in particular a new goal function, transactions with price negotiations between regions and - as a consequence of ...
Jaroslaw Stanczak
core
A Preference-Based Evolutionary Algorithm for Multi-Objective Optimization
In this paper, we discuss the idea of incorporating preference information into evolutionary multi-objective optimization and propose a preference-based evolutionary approach that can be used as an integral part of an interactive algorithm. One algorithm
Thiele, Lothar, +3 more
core +1 more source

