Results 61 to 70 of about 7,400,710 (384)

A Study of Learning Search Approximation in Mixed Integer Branch and Bound: Node Selection in SCIP

AI, 2021
In line with the growing trend of using machine learning to help solve combinatorial optimisation problems, one promising idea is to improve node selection within a mixed integer programming (MIP) branch-and-bound tree by using a learned policy. Previous
Kaan Yilmaz, Neil Yorke-Smith
doaj   +1 more source

Reactive Carbide‐Based Synthesis and Microstructure of NASICON Sodium Metal All Solid‐State Electrolyte

Advanced Materials, EarlyView.
Sodium Metal All‐Solid State Batteries (Na‐ASSBs) are enabled by the synthesis of the solid state electrolyte, NASICON (Na1+xZr2SixP3‐xO12), using carbide‐based precursor compounds (ZrC and SiC); resulting in dense, pure, and mechanically improved microstructure.
Callum J. Campbell, Scott Monismith, Vikalp Raj, Yixian Wang, Qianqian Yan, Cole D. Fincher, Rohit Raj, Yet‐Ming Chiang, John Watt, Josefine D. McBrayer, David Mitlin   +10 more
wiley   +1 more source

A Hybrid Heuristic Harmony Search Algorithm for the Vehicle Routing Problem With Time Windows

IEEE Access
In this paper, we present a hybrid heuristic method based on the harmonic search algorithm to solve the vehicle routing problem with time windows. The importance of efficient path planning in logistics and supply chain management is emphasized herein ...
Yang Zhang, Jiacheng Li
doaj   +1 more source

Minimum-Cost Heterogeneous Node Placement in Wireless Sensor Networks

IEEE Access, 2019
The operational cost-effectiveness of wireless sensor networks depends on the placement of heterogeneous nodes: base stations, sensor nodes, and relay nodes.
Yahui Sun, Saman Halgamuge
doaj   +1 more source

Solution to n-Queens Problem: Heuristic Approach

Transactions on Engineering and Computing Sciences, 2021
Finding non-backtracking solutions to n-queens problems, has been very challenging. Several researchers have attempting to find non-backtracking solutions to n-queens problem, although, some of them recorded huge successes in their researches, but none of them have attempting using the implications of even and odd n-queens, to find solutions to the n ...
openaire   +1 more source

ACO for continuous function optimization: a performance analysis [PDF]

, 2014
The performance of the meta-heuristic algorithms often depends on their parameter settings. Appropriate tuning of the underlying parameters can drastically improve the performance of a meta-heuristic. The Ant Colony Optimization (ACO), a population based
Abraham, Ajith, Ojha, Varun Kumar, Snášel, Václav   +2 more
core  

Testing systems of identical components [PDF]

, 2005
We consider the problem of testing sequentially the components of a multi-component reliability system in order to figure out the state of the system via costly tests. In particular, systems with identical components are considered.
D.E. Smith, E. Boros, E. Gudes, H.A. Simon, J.Y. Halpern, L.A. Cox, L.A. Cox Jr., M. Chang, M.R. Garey, M.Z. Hanani, R. Greiner, S.O. Duffuaa, T. Ünlüyurt, Tonguç Ünlüyurt, Y. Ben-Dov, Y. Breitbart, Y. Breitbart, Y. Breitbart   +17 more
core   +1 more source

Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics

Advanced Materials, EarlyView.
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang, Wooseok Lee, Hwa‐Jung Kim, Sohyang Cha, Hosun Shin, Won Bo Lee, Min‐Wook Oh, Yeon Sik Jung, YongJoo Kim   +8 more
wiley   +1 more source

Load-dependent vehicle routing problem with route time constraint: a heuristic approach

Cogent Engineering
This article explores a vehicle routing problem originating from the delivery operations of an e-commerce retailer in Thailand. The problem requires consideration of load-dependent distance objective and route time restriction.
Nguyen Thuy Trang, Parthana Parthanadee, Jirachai Buddhakulsomsiri, Pham Duc Tai   +3 more
doaj   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source