Earliness/tardiness flow-shop scheduling under uncertainty
For unconventional scheduling problems, both job sequence and starting time of every operation must be optimized, which increases the difficulties of solving this kind of problem.
Zhu YL(朱云龙) +2 more
core
An improved artificial bee colony algorithm with path relinking strategy for the integrated distributed no-wait flow-shop scheduling and vehicle routing problem. [PDF]
Dong C, Zhang H.
europepmc +1 more source
A New Bioactive Glass‐Based Hybrid Bioink With Enhanced Cell Viability and Antibacterial Properties
Graphical illustration of the production and characterization process, demonstrating the multiple functions of the new hybrid gelatin methacryloyl‐silver‐bioactive glass (GAB) material. Created in https://BioRender.com. ABSTRACT Recent advances in three‐dimensional bioprinting (3DBP) technology enable the production of customized bone substitutes ...
Adam C. Marsh +14 more
wiley +1 more source
A Branch-and-bound algorithm for n-job two-machine flow shop scheduling problems
In this paper, we study the n-job two machine flow shop scheduling problem, minimizing the total job flow times. The problem is mathematically formulated, and two heuristic approaches are invented to find near optimum schedules.
Wang CE(王成恩) +2 more
core
Optimization of Batch Centralized Health Examination Scheduling Considering Inter-Item Transition Time and Sex Differences: An Empirical Optimization Study. [PDF]
Lv M, Zhao X, Sun F, Kong Y, Wang X.
europepmc +1 more source
Using PVA–borax hydrogels as carriers for off‐the‐shelf artificial sweeteners to fight multidrug‐resistant A. baumannii. These soft, biocompatible hydrogels rapidly reduce bacterial viability within multidrug‐resistant A. baumannii biofilms by more than 99% within one hour and sustain antimicrobial activity over time, while demonstrating safety in both
Jie Han +4 more
wiley +1 more source
The Flow Shop Sequencing Problem
We compare in this paper the best heuristic methods known up to now to solve the flow shop sequencing problem and we improve the complexity of the best one.
Rvision Mars +2 more
core
Dynamic-opposite learning enhanced meta-heuristic approach for solving multiple industrial optimization problems. [PDF]
Wu H, Li L, Wang G, Yang Z, Shi B.
europepmc +1 more source
Biologically derived and hybrid nonviral nanovectors are examined as distinct but convergent design approaches. Integrating synthetic components with biologically functionalized membranes allows efficient interactions with complex cellular environments.
Clara Baldari +10 more
wiley +1 more source
Knowledge-driven teaching-learning-based optimization algorithm for bi-objective flexible job-shop scheduling problem with tool allocation. [PDF]
Chen K, Yuan X, Tan W.
europepmc +1 more source

