Results 51 to 60 of about 2,844,778 (299)

A Comparative Study of Meta-Heuristic Optimization Algorithms for 0 – 1 Knapsack Problem: Some Initial Results

IEEE Access, 2019
In this paper, we present some initial results of several meta-heuristic optimization algorithms, namely, genetic algorithms, simulated annealing, branch and bound, dynamic programming, greedy search algorithm, and a hybrid genetic algorithm-simulated ...
Absalom E. Ezugwu, Verosha Pillay, Divyan Hirasen, Kershen Sivanarain, Melvin Govender   +4 more
doaj   +1 more source

Integration of Simulated Quantum Annealing in Parallel Tempering and Population Annealing for Heterogeneous-Profile QUBO Exploration

IEEE Access, 2023
Simulated Quantum Annealing (SQA) is a heuristic algorithm which can solve Quadratic Unconstrained Binary Optimization (QUBO) problems by emulating the exploration of the solution space done by a quantum annealer.
Deborah Volpe, Giovanni Amedeo Cirillo, Maurizio Zamboni, Giovanna Turvani   +3 more
doaj   +1 more source

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

Advanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

Enhancing heuristic bubble algorithm with simulated annealing

Cogent Business & Management, 2016
In this study, a new way to improve the Heuristic Bubble Algorithm (HBA) is presented. HBA is a nature-inspired algorithm, which is a new approach to and initially implemented for, vehicle routing problems of pickup and delivery (VRPPD).
Mehmet Fatih Yuce, Erhan Musaoglu, Ali Gunes   +2 more
doaj   +1 more source

Classification of Acceptance Criteria for the Simulated Annealing Algorithm [PDF]

Mathematics of Operations Research, 1997
We present a complete and explicit description of the class of all acceptance criteria for the simulated annealing algorithm that uniformly depend on the cost of the current and the candidate configuration and that lead to detailed balance when combined with a symmetric generation matrix.
openaire   +2 more sources

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Algoritmo Simulated Annealing: uma nova abordagem [PDF]

, 2001
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da Computação.A busca por soluções de problemas por meio do computador é o tema central da ciência da computação, relevante para ...
Araujo, Haroldo Alexandre de
core  

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
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, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

Hybrid Annealing Krill Herd and Quantum-Behaved Particle Swarm Optimization

Mathematics, 2020
The particle swarm optimization algorithm (PSO) is not good at dealing with discrete optimization problems, and for the krill herd algorithm (KH), the ability of local search is relatively poor.
Cheng-Long Wei, Gai-Ge Wang
doaj   +1 more source

Hybrid Binary Dragonfly Algorithm with Simulated Annealing for Feature Selection

, 2021
There are various fields are affected by the growth of data dimensionality. The major problems which are resulted from high dimensionality of data including high memory requirements, high computational cost, and low machine learning classifier ...
Tubishat, Mohammad, Chantar, Hamouda, Essgaer, Mansour, Mirjalili, Seyedali   +3 more
core   +1 more source