Envy-Free Makespan Approximation
We study envy-free mechanisms for scheduling tasks on unrelated machines (agents) that approximately minimize the makespan. For indivisible tasks, we put forward an envy-free poly-time mechanism that approximates the minimal makespan to within a factor ...
Amos Fiat +4 more
core
Minimizing Makespan in a Pallet-Constrained Flowshop
We consider the problem of scheduling n jobs in a pallet-constrained two-machine flowshop so as to minimize the makespan. In such a owshop environment, each job needs a pallet the entire time, from the start of its first operation until the completion of
Chelliah Sriskandarajah +4 more
core
Online Parallel Paging with Optimal Makespan
Agrawal K. +5 more
openaire +3 more sources
Stochastically minimizing makespan on a three-machine flowshop
Johnson considers the deterministic three-machine flowshop problem to minimize makespan. He shows that permutation schedules are dominant, and establishes an optimal algorithm for the cases where the minimum processing time on either machine 1 or machine
ALLAHVERDİ, ALİ
core +1 more source
Balancing safety and efficiency in large-scale HRC: A dynamic scheduling method confronting temporal and spatial uncertainty of human workers. [PDF]
Xia H, Sun Z, Tong H.
europepmc +1 more source
Accessibility-aware multi-objective truck-drone hybrid routing for post-disaster humanitarian logistics. [PDF]
Kocataş BD, Ercan Cömert S.
europepmc +1 more source
Hybrid Bacterial Colony Optimization and Particle Swarm Optimization for load balancing in fog computing. [PDF]
Kumar A, Gupta P, Verma R.
europepmc +1 more source
An analysis tableau and algorithm for flow-shop makespan minimization
An analysis tableau suitable for investigating flow-shop attributes is presented in detail 1. Geometric properties, inherent within the tableau, are employed using graph theory concepts in developing a heuristic algorithm for makespan minimization ...
McHale, Nancy Ellis
core
Hybrid GA-DQL approach for efficient task mapping of IoT applications in fog computing framework. [PDF]
Tripathy N +3 more
europepmc +1 more source
Federated multi-cloud task scheduling with load balancing using multi-objective NSGA-II and reinforcement learning. [PDF]
Ghaban W, Alatawi HS.
europepmc +1 more source

