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Optimization problem
Optimal job scheduling is a class of optimization problems related to scheduling. The inputs to such problems are a list of jobs (also called processes
Optimal_job_scheduling
Optimization problem
Job-shop scheduling, the job-shop problem (JSP) or job-shop scheduling problem (JSSP) is an optimization problem in computer science and operations research
Job-shop_scheduling
Class of computational problem
Flow-shop scheduling is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling. In a general job-scheduling
Flow-shop_scheduling
Class of problems in computer science
single-machine scheduling, since they assume that all tasks must run on a single processor. Single-machine scheduling is a special case of optimal job scheduling. Single-interval
Interval_scheduling
is a special case of identical-machines scheduling, which is itself a special case of optimal job scheduling. Many problems, which are NP-hard in general
Single-machine_scheduling
Online job scheduling is a variant of the optimal job scheduling problem, in which the jobs are not all available at the beginning, but come one after
Online_job_scheduling
Identical machine scheduling is a special case of uniform machine scheduling, which is itself a special case of optimal job scheduling. In the general case
Identical-machines_scheduling
Optimization problem
scheduling or open-shop scheduling problem (OSSP) is an optimization problem in computer science and operations research. It is a variant of optimal job
Open-shop_scheduling
Optimization problem in computer science
Parallel task scheduling (also called parallel job scheduling or parallel processing scheduling) is an optimization problem in computer science and operations
Parallel_task_scheduling
Optimization problem in computer science and operations research
Unrelated-machines scheduling is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling. We need to schedule n
Unrelated-machines_scheduling
algorithm. In preemptible scheduling, dynamic priority scheduling such as earliest deadline first (EDF) provides the optimal schedulable utilization of 1 in
Dynamic_priority_scheduling
Problems involving random attributes
the scheduling policy adopted to prioritize over time the access of jobs to resources. The goal of stochastic scheduling is to identify scheduling policies
Stochastic_scheduling
manufacturing systems. In the standard three-field notation for optimal job scheduling problems, the problem of minimizing the largest sum is sometimes
Balanced_number_partitioning
Optimal job scheduling with some jobs done in parts
Fractional job scheduling is a variant of optimal job scheduling in which it is allowed to break jobs into parts and process each part separately on the
Fractional_job_scheduling
Greedy algorithm
List scheduling is a greedy algorithm for Identical-machines scheduling. The input to this algorithm is a list of jobs that should be executed on a set
List_scheduling
Method by which work is assigned
quality-of-service. Scheduling is fundamental to computation itself, and an intrinsic part of the execution model of a computer system; the concept of scheduling makes
Scheduling_(computing)
Planning of tasks and events
terms of finding an optimal solution or method for solving. For example, the nurse scheduling problem is concerned with scheduling a number of employees
Schedule
Mathematical and computational problem
introduce this problem as a variant of optimal job scheduling: a computer has some k processors. There are some n jobs that take unit time (1), but have different
Bin_packing_problem
Optimization prpblem
is a variant of optimal job scheduling. We are given n jobs J1, J2, ..., Jn of varying processing times, which need to be scheduled on m different machines
Uniform-machines_scheduling
Digital workload distribution techniques
System Network load balancing Optimal job scheduling - the computational problem of finding an optimally-balanced schedule. SRV record Sanders, Peter; Mehlhorn
Load_balancing_(computing)
Dynamic scheduling algorithm
dynamic priority scheduling algorithm used in real-time operating systems to place processes in a priority queue. Whenever a scheduling event occurs (task
Earliest deadline first scheduling
Earliest_deadline_first_scheduling
Method for partitioning partial orders into levels
application in job shop scheduling. In this application, the elements to be ordered are jobs, the bound W is the number of jobs that can be scheduled at any one
Coffman–Graham_algorithm
RPG where users exploit processing machines
In game theory, a job scheduling game is a game that models a scenario in which multiple selfish users wish to utilize multiple processing machines. Each
Job_scheduling_game
Scheduling technique in computer science
rate-monotonic scheduling (RMS) is a priority assignment algorithm used in real-time operating systems (RTOS) with a static-priority scheduling class. The
Rate-monotonic_scheduling
job scheduling is a mechanism design variant of the job shop scheduling problem from operations research. We have a project composed of several "jobs"
Truthful_job_scheduling
Algorithm for job scheduling
Longest-processing-time-first (LPT) is a greedy algorithm for job scheduling. The input to the algorithm is a set of jobs, each of which has a specific processing-time
Longest-processing-time-first scheduling
Longest-processing-time-first_scheduling
Comparison in computer science
finishing time algorithm is optimal. Consider the job interval scheduling problem, an NP-hard variant of the interval scheduling problem visited earlier.
Charging_argument
Method of scheduling jobs
Johnson, is a method of scheduling jobs in two work centers. Its primary objective is to find an optimal sequence of jobs to reduce makespan (the total
Johnson's_rule
total weighted tardiness problem (SMTWTP). The modified due date scheduling is a scheduling heuristic created in 1982 by Baker and Bertrand, used to solve
Modified due-date scheduling heuristic
Modified_due-date_scheduling_heuristic
American mathematician (1935–2020)
article on scheduling algorithms published in 1979, Graham and his coauthors introduced a three-symbol notation for classifying theoretical scheduling problems
Ronald_Graham
Assignment of a task to a given core of a CPU
percentage limits. Again on CPUs with SMT, non-SMT-aware schedulers might make the mistake of scheduling work on a non-busy core with a busy partner when non-busy
Processor_affinity
in economics Job shop scheduling Quality control and genetic algorithms Wall, M., A Genetic Algorithm for Resource-Constrained Scheduling (PDF) Lim, C
Genetic_algorithm_scheduling
Computational problem in graph theory
the closure problem to a version of job shop scheduling in which one is given a collection of tasks to be scheduled to be performed, one at a time. Each
Closure_problem
Linear programming for Combinatorial optimization
cutting stock problem. Later, it has been applied to the bin packing and job scheduling problems. In the configuration-LP, there is a variable for each possible
Configuration_linear_program
Subfield of mathematical optimization
to route to pick up fares Determining the optimal way to deliver packages Allocating jobs to people optimally Designing water distribution networks Earth
Combinatorial_optimization
Type of interview
optimal person for the job. An interview also allows the candidate to assess the corporate culture and the job requirements. Multiple rounds of job interviews
Job_interview
time. Without scheduling, the processor would give attention to jobs based on when they arrived in the queue, which is usually not optimal. As part of the
Windows NT processor scheduling
Windows_NT_processor_scheduling
not necessarily dropped from scheduling consideration or aborted during its operation—that decision depends on the scheduling algorithm.) A conventional
Time-utility_function
tasks. Today's employee scheduling software often includes mobile applications. Mobile scheduling further increased scheduling productivity and eliminated
Employee_scheduling_software
Free and open-source software portal JobRunr is an open-source job-scheduling library for the Java platform that lets developers enqueue, delay, or run
JobRunr
Overview of and topical guide to algorithms
Incidence matrix Scheduling algorithms Round-robin scheduling Shortest job next Rate-monotonic scheduling Earliest deadline first scheduling Page replacement
Outline_of_algorithms
Measure in decision theory
to determine the optimal scheduling of jobs, e.g., in an M/G/1 queue. The mean completion time of jobs under a Gittins index schedule can be determined
Gittins_index
Task scheduling algorithm
communicate the results from each job to each of its children between each pair of workers. It descends from list scheduling algorithms. HEFT executes in two
Heterogeneous earliest finish time
Heterogeneous_earliest_finish_time
Algorithm for scheduling problems
constrained scheduling problems, particularly single-machine scheduling. It can handle precedence constraints between jobs, requiring certain jobs to be completed
Lawler's_algorithm
Optimization algorithm in computer science
S , n ) {\displaystyle OPT(S,n)} is the value of the optimal solution to the original scheduling instance. Let r n {\displaystyle r_{n}} be the smallest
Multifit_algorithm
Aspect of queueing theory
sojourn time in the queue. If service times that jobs require are known on arrival then the optimal scheduling policy is SRPT. Policies can also be evaluated
M/G/1_queue
For any Job instance, the algorithm computes an optimal schedule minimizing the total energy consumption. Earliest deadline first scheduling F.F. Yao
YDS_algorithm
Transposition driven scheduling (TDS) is a load balancing algorithm for parallel computing. It was developed at the Vrije Universiteit in Amsterdam, The
Transposition-driven scheduling
Transposition-driven_scheduling
use resources optimally. Such a type of scheduling problem is known as Job shop scheduling or Flow shop scheduling. Job shop scheduling means that each
Backflush_accounting
Algorithm in queueing theory
situation where each job can visit multiple service nodes in the network. It is an extension of max-weight scheduling where each job visits only a single
Backpressure_routing
optimal number of d-sized bins is at most k, iff the optimal size of a largest subset in a k-partition is at most d. The uniform-machines scheduling problem
Multiway_number_partitioning
Metaheuristic
applied to several combinatorial optimization problems including the Job Shop Scheduling problems, Flow-Shop Problems, Vehicle Routing Problems as well as
Iterated_local_search
Mathematical study of waiting lines, or queues
any time, the max-weight scheduling algorithm chooses a service policy to give optimal throughput in the case that each job visits only a single-person
Queueing_theory
Algorithm that begins on possibly incomplete inputs
offer more than one online algorithm as solution: k-server problem Job shop scheduling problem List update problem Bandit problem Secretary problem Search
Online_algorithm
offer more than one online algorithm as a solution: k-server problem Job shop scheduling problem List update problem Bandit problem Secretary problem Search
Online_optimization
Computer operating system for applications with critical timing constraints
a scheduler ready list implemented as a linked list would be inadequate. Some commonly used RTOS scheduling algorithms are: Cooperative scheduling Preemptive
Real-time_operating_system
American mathematician
as the following problem of scheduling unrelated parallel machine with costs. Each of n {\displaystyle n} independent jobs (denoted J {\displaystyle J}
David_Shmoys
Mathematical concept
mathematical modeling of job shop scheduling problems, disjunctive graphs are a way of modeling a system of tasks to be scheduled and timing constraints
Disjunctive_graph
Method for analyzing online algorithms
badly compared to an optimal algorithm, whereas Move-To-Front can never be made to incur more than twice the cost of an optimal algorithm. In the case
Competitive analysis (online algorithm)
Competitive_analysis_(online_algorithm)
iteration Solve lowest maximum lateness problem Include optimal sequence in graph Determine optimal sequences for remaining machines (considering precedence
Shifting_bottleneck_heuristic
Mathematical combinatorial optimization method
to completion in order to prove that an optimal solution to the Restricted Master Problem is also an optimal solution to the Master Problem. Each time
Branch_and_price
related to job-shop scheduling Knapsack problem, quadratic knapsack problem, and several variants Some problems related to multiprocessor scheduling Numerical
List_of_NP-complete_problems
Optimization problem
combinatorial optimization and integer programming problem which asks "What is the optimal set of routes for a fleet of vehicles to traverse in order to deliver to
Vehicle_routing_problem
Concept in economics and game theory
Claim. For each job scheduling game, there exists at least one pure-strategy Nash equilibrium. Proof. We would like to take a socially optimal action profile
Price_of_anarchy
Probabilistic optimization technique and metaheuristic
prediction, and job-shop scheduling). For problems where a fixed amount of computing resource is available, finding an approximate global optimum may be more
Simulated_annealing
Method to solve optimization problems
Job shop scheduling – Optimization problemPages displaying short descriptions of redirect targets Least absolute deviations – Statistical optimality criterion
Linear_programming
Process of reasoning backwards in sequence
expects to work in a job for a long time, it is worth picking carefully. A dynamic optimization problem of this kind is called an optimal stopping problem
Backward_induction
Optimization technique
goal is to efficiently explore the search space in order to find optimal or near–optimal solutions. Techniques which constitute metaheuristic algorithms
Metaheuristic
Topics referred to by the same term
cron, or crón in Wiktionary, the free dictionary. Cron is a time-based job scheduler in Unix-like computer operating systems. CRON or cron may also refer
Cron_(disambiguation)
American human resources technology company
clients to conduct digital interviews during the hiring process, where the job candidate interacts with a computer instead of a human interviewer. The company
HireVue
Parallelization across multiple processors in parallel computing environments
the elements of an array. On the other hand, if we execute this job as a data parallel job on 4 processors the time taken would reduce to (n/4)×Ta + merging
Data_parallelism
Employment arrangement
recently developed a social plan that encourages job share as an optimum alternative to full-time jobs. South Africa's current economy, as of April, 2016
Job_sharing
NP-hard problem in combinatorial optimization
that, instead of seeking optimal solutions, would produce a solution whose length is provably bounded by a multiple of the optimal length, and in doing so
Travelling_salesman_problem
Hong Kong scientist
Francisco, USA, January 2000 F.Y.L. Chin and S.P.Y. Fung, Online Scheduling with Partial Job Values: Does Timesharing or Randomization Help?, Algorithmica
Francis_Y._L._Chin
and focus on various types of scheduling problems. G. Mosheiov. (1992). V-Shaped policies for scheduling deteriorating jobs. Operations Research, Vol. 39
Gur_Mosheiov
Production Scheduling applications, including job-shop scheduling and scheduling in printed circuit board assembly. The objective being to schedule jobs in a
List of genetic algorithm applications
List_of_genetic_algorithm_applications
Node ordering for directed acyclic graphs
in scheduling a sequence of jobs or tasks based on their dependencies. The jobs are represented by vertices, and there is an edge from x to y if job x
Topological_sorting
Greek American mathematician (born 1952)
cluster-based servers employing job preemption, with Ungureanu, V. and B. Melamed in "Performance Evaluation", Vol. 65(8), 2008. On Optimal Bidding in Sequential
Michael_Katehakis
Mathematical model
this model. The optimal maximum size of batch, subject to operating cost constraints, can be modelled as a Markov decision process. Optimal service-provision
Bulk_queue
Indian-American professor (1954–2007)
Park, S., and Loganathan, G.V., "A Review and A Methodology for Scheduling Optimal Replacement of Pipes in Water Distribution Systems", Water Engineering
G._V._Loganathan
Combined science of forestry and informatics
decision-making activities. Common forestry problems include harvest scheduling, model fitting, optimal sampling, remote sensing, crew assignment, image classification
Forest_informatics
Area of research and practice within industrial and organizational psychology
different agents. The optimal task assignment depends on whether the tasks are to be performed simultaneously or sequentially. The Job Diagnostic Survey (JDS)
Work_design
Approach to optimizing staff in a workplace
such as: Flexible scheduling or rostering: Empowering employees with tools for shift-swapping, shift-bidding, and self-scheduling or auto rostering based
Workforce_management
Research laboratory in Lille, France
due to funding for applied research such as optimal command for ironworks processes, job-shop scheduling and control for manufacturing systems in automobile
Laboratoire d'Automatique, Génie Informatique et Signal
Laboratoire_d'Automatique,_Génie_Informatique_et_Signal
Optimization algorithm
pheromones evaporate. Sequential ordering problem (SOP) Job-shop scheduling problem (JSP) Open-shop scheduling problem (OSP) Permutation flow shop problem (PFSP)
Ant colony optimization algorithms
Ant_colony_optimization_algorithms
Dr. Gus as a performance coach to fill Wendy's former position. 15 3 "Optimal Play" Alex Gibney Willie Reale March 5, 2017 (2017-03-05) 0.851 Axe considers
List_of_Billions_episodes
Pattern of activity often with a result
processing in pursuit of a goal. A workflow may be viewed as an often optimal or near-optimal realization of the mechanisms required to execute the same plan
Workflow
Certain American television events in 2026 have been scheduled. Events listed include television show debuts, finales, and cancellations; channel launches
2026_in_American_television
Biographical film by Antoine Fuqua
Toya, Janet "kindly declined" to be included. Principal photography was scheduled to begin in mid-2023 and take place over 80 days in Santa Barbara, California
Michael_(2026_film)
American economist and econometrician (born 1955)
end interface" to the EconJobMarket.org. Some of the features of this system include paperless operation, built-in scheduling module, easy setup, high
John_Rust
Japanese light novel series
Reincarnation in the Game World Dan-Katsu: Game Addict Plays "Encouragement for Job Hunting in Dungeons" From a "New Game" (Japanese: ゲーム世界転生〈ダン活〉～ゲーマーは【ダンジョン就活のススメ】を
Reincarnation in the Game World Dan-Katsu
Reincarnation_in_the_Game_World_Dan-Katsu
deadline first scheduling Fair-share scheduling Least slack time scheduling List scheduling Multi level feedback queue Rate-monotonic scheduling Round-robin
List_of_algorithms
Type of queue
computed and optimal deterministic delays introduced to minimize the range. In general the stationary distribution of the number of jobs at each queue
Fork–join_queue
Factors influencing work-related behavior
less motivated by extrinsically related features of a job, but more by intrinsically rewarding job features. Work motivation is strongly influenced by certain
Work_motivation
service that will be provided. The project controller helps determine the optimal price to charge the client in order to retain profit at the end of the
Project_controller
Period of time that an individual spends at paid occupational labor
15, 2010. Janice Peterson (2008-06-09). "Study finds four-day work week optimal". Heraldextra.com. Archived from the original on 2011-06-16. Retrieved
Working_time
Limit on the price of a good or service
negotiation process. In the basic model of optimal auction design developed by Roger Myerson (1981), the optimal reservation price (i.e., the smallest admissible
Reservation_price
American defense technology company
June 18, 2025. "Ohio & Anduril to revolutionize defense manufacturing". JobsOhio. Retrieved June 18, 2025. Boyle, Alan (May 12, 2020). "Anduril Industries
Anduril_Industries
Mathematical optimization concept
holds for the optimal values of the dual and primal LPs. The strong duality theorem states that, moreover, if the primal has an optimal solution then
Dual_linear_program
American multinational technology company
1976 as Apple Computer Company by Steve Jobs, Steve Wozniak and Ronald Wayne, the company was incorporated by Jobs and Wozniak as Apple Computer, Inc. the
Apple_Inc.
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OPTIMAL JOB-SCHEDULING
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OPTIMAL JOB-SCHEDULING
OPTIMAL JOB-SCHEDULING
OPTIMAL JOB-SCHEDULING
OPTIMAL JOB-SCHEDULING
OPTIMAL JOB-SCHEDULING
OPTIMAL JOB-SCHEDULING
OPTIMAL JOB-SCHEDULING
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