Results 111 to 120 of about 62,265 (211)

OPTIMIZING PROJECT TIME-COST-QUALITY BY USING GENETIC ALGORITHMS [PDF]

Project management causes the problem of efficient resource assignment, activity, time constraints and relationships between activities. Traditional scheduling methods like CPM and PERT are incomplete tools to use in practice because they do not consider
Ileana Ruxandra BADEA, Constanta-Nicoleta BODEA   +1 more
core  

Solving two production scheduling problems with sequence-dependent set-up times [PDF]

In today s competitive markets, the importance of good scheduling strategies in manufacturing companies lead to the need of developing efficient methods to solve complex scheduling problems.
Helena Ramalhinho-Lourenço, Joao António Noivo   +1 more
core  

Fog Task Scheduling Using Quality-Source-Driven Multi-Anchor Synchronized Search Algorithm. [PDF]

Biomimetics (Basel)
Xie H, Luo Z, Ye Z, Zhou W, Zhou X, Xu D, Zhao M.   +6 more
europepmc   +1 more source

Optimized N-deque partition dual-deque merge string sorting algorithm. [PDF]

Sci Rep
Ketchaya S, Rattanatranurak A.
europepmc   +1 more source

Multi-Strategy Enhanced White Shark Optimizer for Solving Job Shop Scheduling Problem. [PDF]

Biomimetics (Basel)
Cao L, Li M, Chen K, Yue Y, Qiu Y, Cheng Z.   +5 more
europepmc   +1 more source

Hybrid Bacterial Colony Optimization and Particle Swarm Optimization for load balancing in fog computing. [PDF]

PLoS One
Kumar A, Gupta P, Verma R.
europepmc   +1 more source

WS-SSA: workflow scheduling in cloud computing using salp swarm algorithm. [PDF]

Sci Rep
Sharawy AA, Sakr RH, Eladrosy W, Alrahmawy MF.   +3 more
europepmc   +1 more source

Enhancing smart factory performance via hybrid scheduling and intelligent resource management. [PDF]

Sci Rep
Vaidya S, Jethava G, Jethava S.
europepmc   +1 more source

Research on hybrid cloud resource scheduling optimization algorithm based on EMPA-ASA. [PDF]

PLoS One
Zhang Z, Gao J, Liu R, Tao Q.
europepmc   +1 more source

Efficiency optimization of enterprise resource planning based on deep reinforcement learning: achieving more efficient business process automation. [PDF]

Sci Rep
Xi D, Nie V.
europepmc   +1 more source