Results 71 to 80 of about 137,584 (378)
Genetic algorithm and neural network hybrid approach for job-shop scheduling [PDF]
Copyright @ 1998 ACTA PressThis paper proposes a genetic algorithm (GA) and constraint satisfaction adaptive neural network (CSANN) hybrid approach for job-shop scheduling problems.
Wang, D, Yang, S, Zhao, K
core
Mitochondria contain two mitoribosome rescue factors, ICT1 and MTRFR (C12orf65). ICT1 also functions as a mitoribosomal protein in mice and humans, and its loss is lethal. Although Mtrfr knockout mice could not be generated, knockout zebrafish lines for ict1 and mtrfr were established.
Nobukazu Nameki+11 more
wiley +1 more source
An effective hybrid algorithm for multi-objective flexible job-shop scheduling problem
Genetic algorithm is one of primary algorithms extensively used to address the multi-objective flexible job-shop scheduling problem. However, genetic algorithm converges at a relatively slow speed.
Xiabao Huang, Zailin Guan, Lixi Yang
doaj +1 more source
Job Shop Scheduling Under Uncertainty
In this research we aim to investigate the job shop scheduling problem with uncertain processing times. First we study the literature for the best solution approaches for the deterministic job shop problem. Among all developed algorithms in the literature the famous TSAB algorithm by Nowicki and Smutnicki in 1996 has shown well performance regarding ...
Ghorbani Saber, Reza+3 more
openaire +3 more sources
20 Hz mechanical vibration induced A431 cancer cells' apoptosis without such effect on other healthy cell lines of L929 and C2C12. Lowered glucose consumption is observed specifically in A431. The expressions of ROS, HMGB1, and HSP1 levels initially increase and subsequently decrease in the cancer cell line, as opposed to L929 and C2C12, which ...
Wresti L. Anggayasti+5 more
wiley +1 more source
Neural networks for job-shop scheduling [PDF]
A neural network structure has been developed which is capable of solving deterministic job-shop scheduling problems, part of the large class of np-complete problems. The problem was translated in an integer linear programming format which facilatated translation in an adequate neural network structure.
Jacobus E. Rooda, T.M. Willems
openaire +2 more sources
An investigation into minimising total energy consumption and total completion time in a flexible job shop for recycling carbon fiber reinforced polymer [PDF]
The increased use of carbon fiber reinforced polymer (CFRP) in industry coupled with European Union restrictions on landfill disposal has resulted in a need to develop relevant recycling technologies.
Liu, Ying, Tiwari, Ashutosh
core +1 more source
A review of artificial intelligence in brachytherapy
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen+4 more
wiley +1 more source
A Green Flexible Job-Shop Scheduling Model for Multiple AGVs Considering Carbon Footprint
Green and low carbon automated production has become a research hotspot. In this paper, the AGV transport resource constraint, machine layout and job setup time have been integrated into the background of a flexible job shop.
Xinxin Zhou+3 more
doaj +1 more source
Design and validation of a novel dosimetry phantom for motion management audits
Abstract Background We present a novel phantom design for conducting end‐to‐end dosimetry audits for respiratory motion management of two anatomical treatment sites. The design enables radiochromic film measurements of the dose administered to the target throughout the respiratory cycle (motion‐included) and the dose delivered to the time‐averaged ...
Alex Burton+5 more
wiley +1 more source