Results 101 to 110 of about 85,049 (338)

Augmented ɛ‐constraint‐based matheuristic methodology for Bi‐objective production scheduling problems

IET Collaborative Intelligent Manufacturing
Matheuristic is an optimisation methodology that integrates mathematical approaches and heuristics to address intractable combinatorial optimisation problems, where a common framework is to insert mixed integer linear programming (MILP) models as local ...
Jiaxin Fan
doaj   +1 more source

A novel fuzzy model for multi-objective permutation flow shop scheduling problem with fuzzy processing time

Advances in Mechanical Engineering, 2019
This article proposes a novel fuzzy model for solving fuzzy multi-objective permutation flow shop scheduling problem with fuzzy processing time. Specifically, two fuzzy objectives, that is, the fuzzy makespan and the fuzzy total flow time, are taken into
Fuyu Yuan, Xin Xu, Minghao Yin
doaj   +1 more source

Survival and disinfection of SARS-Cov-2 in environment and contaminated surface [PDF]

, 2020
The detection of SARS-Cov-2 in the sewage and water resources has increased the awareness among the people about the possibility survival of SARS-Cov-2 in the environment and the potential to transmit into the human through food chain or water resources.
Al-Gheethi, Adel, Al-Maqtari, Qais, Almoheer, Reyad, Hamdan, Rafidah, Noman, Efaq, Radin Mohamed, Radin Maya Saphira   +5 more
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Climbing depth-bounded adjacent discrepancy search for solving hybrid flow shop scheduling problems with multiprocessor tasks [PDF]

, 2011
This paper considers multiprocessor task scheduling in a multistage hybrid flow-shop environment. The problem even in its simplest form is NP-hard in the strong sense.
A. Ben Hmida, A. Ben Hmida, A. Jouglet, A. Sprecher, C. Oğuz, C. Oğuz, F.S. Şerifoğlu, F.S. Şerifoğlu, G. Brooks, J. Chen, J.E. Kelley Jr, M. Fischetti, S. Bertel, Z. Kiziltan   +13 more
core   +2 more sources

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Evolutionary Hybrid Particle Swarm Optimization Algorithm for Solving NP-Hard No-Wait Flow Shop Scheduling Problems

Algorithms, 2017
The no-wait flow shop is a flowshop in which the scheduling of jobs is continuous and simultaneous through all machines without waiting for any consecutive machines.
Laxmi A. Bewoor, V. Chandra Prakash, Sagar U. Sapkal   +2 more
doaj   +1 more source

REVIEW ON JOB-SHOP AND FLOW-SHOP SCHEDULING USING

Journal of Mechanical Engineering, 2011
Scheduling is widely studied and complex combinatorial optimization problems. A vast amount of research has been performed in this particular area to effectively schedule jobs for various objectives. The multi-criteria scheduling problem is one of the main research subjects in the field of modern manufacturing where most of them are considered as NP ...
Hafiz Ullah, Sultana Parveen
openaire   +3 more sources

PYCR1 inhibition in bone marrow stromal cells enhances bortezomib sensitivity in multiple myeloma cells by altering their metabolism

Molecular Oncology, EarlyView.
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert, Lauren van den Broecke, Osman Aksoy, Judith Lind, Sonia Vallet, Arne Van der Vreken, Gamze Ates, Ann Massie, Ken Maes, Kim De Veirman, Elke De Bruyne, Karin Vanderkerken, Klaus Podar, Eline Menu   +13 more
wiley   +1 more source

A computational efficient optimization of flow shop scheduling problems. [PDF]

Sci Rep, 2022
Liang Z, Zhong P, Liu M, Zhang C, Zhang Z.   +4 more
europepmc   +1 more source

Scheduling of Flexible Manufacturing Systems using Intelligent heuristic search algorithm (IHSA*) [PDF]

, 2012
The complete scheduling of FMS includes two independent processes: sequencing of jobs and scheduling those prioritized jobs. In a flow shop or a Progressive type FMS, scheduling problem involves sequencing of ‘n’ jobs on ‘m’ machines with minimum ...
Gidhi, Pradyumna Kumar
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