Results 191 to 200 of about 24,116 (312)

A Modified Genetic Algorithm with Local Search Strategies and Multi-Crossover Operator for Job Shop Scheduling Problem. [PDF]

Sensors (Basel), 2020
Viana MS, Morandin Junior O, Contreras RC.   +2 more
europepmc   +1 more source

Quantifying the Carbon Reduction of DAG Workloads: A Job Shop Scheduling Perspective [PDF]

Bostandoost, Roozbeh, Lechowicz, Adam, Hanafy, Walid A., Shenoy, Prashant, Hajiesmaili, Mohammad   +4 more
openalex  

Solving Fuzzy Job-Shop Scheduling Problems with a Multiobjective Optimizer

, 2013
Thanh-Do Tran, Ramiro Varela, Inés González-Rodríguez, El‐Ghazali Talbi   +3 more
openalex   +2 more sources

Advanced search techniques for the job shop problem : a comparison [PDF]

, 1995
Roberto Tadei, Federico Della Croce, Giuseppe Menga   +2 more
openalex   +1 more source

On‐Demand Activation of Thin Alginate Shell Encapsulated Volatile Liquid for Untethered Pneumatic Soft Actuation

Advanced Engineering Materials, EarlyView.
Phase‐changing liquids enable untethered pneumatic actuation in soft robotics but suffer from volatility and storage challenges. This work reports a simple method to encapsulate Novec 7000 within micron‐thin alginate shells via in situ injection and ionic crosslinking.
Rayan A. M. Basodan, Jack Keddie, Byoungyoul Park, Hyun‐Joong Chung   +3 more
wiley   +1 more source

ISIS : a constraint-directed reasoning approach to job shop scheduling, a system summary

, 2018
Mark S. Fox, Bradley P. Allen, Stephen F. Smith, Gary A. Strom   +3 more
openalex   +1 more source

Operation-based Encoding and Neighborhood Search Genetic Algorithm for Job Shop Scheduling Optimization [PDF]

, 2013
Shikui Zhao
openalex   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

GAILS: an effective multi-object job shop scheduler based on genetic algorithm and iterative local search. [PDF]

Sci Rep
Shao X, Kshitij FS, Kim CS.
europepmc   +1 more source

Multi-population genetic algorithm with ER network for solving flexible job shop scheduling problems. [PDF]

PLoS One, 2020
Shi X, Long W, Li Y, Deng D.
europepmc   +1 more source