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[PDF] Top 20 LPT Algorithm for Jobs with Similar Sizes on Three Machines

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LPT Algorithm for Jobs with Similar Sizes on Three Machines

LPT Algorithm for Jobs with Similar Sizes on Three Machines

... the jobs with a non-increasing order of their sizes. Then LPT algo- rithm assigns the jobs one by one according to the non-increasing order and al- ways assigns the current job to the machine ... See full document

9

Literature Review of Single Machine Scheduling Problem with Uniform Parallel Machines

Literature Review of Single Machine Scheduling Problem with Uniform Parallel Machines

... which jobs with non-increasing sizes arrive one by one which are to be scheduled on two uniformly related ma- chines, with the goal of minimizing the ...two machines. They showed that the greedy ... See full document

18

Better Algorithm of Ordinal Online Schedule for Jobs with Similar Sizes on Two Machines

Better Algorithm of Ordinal Online Schedule for Jobs with Similar Sizes on Two Machines

... for jobs with known sizes in [ ]( 1, r r ≥ 1 ) and non-decreasing processing times on two parallel machines ...existing algorithm P 2 can not be improved even if the job processing times are ... See full document

9

Multi-Objective Unrelated Parallel Machines Scheduling with Sequence-Dependent Setup Times and Precedence Constraints

Multi-Objective Unrelated Parallel Machines Scheduling with Sequence-Dependent Setup Times and Precedence Constraints

... Monma, et al [10] considered the complex computing of scheduling parallel machine with sequence dependent set up cost. Balakrishnam, et al [11] considered this problem to minimize the total earliest and tardiness cost ... See full document

10

Ordinal Semi On Line Scheduling for Jobs with Arbitrary Release Times on Identical Parallel Machines

Ordinal Semi On Line Scheduling for Jobs with Arbitrary Release Times on Identical Parallel Machines

... The rest of the paper is organized as follows. In Section 2, some definitions and the algorithm P are given. In Section 3, we analyze the algorithm P and show its the upper bound of the worst case ratio. In ... See full document

10

A Combined Preemptive SJF and Preemptive Priority Algorithm to Enhance CPU Utilization

A Combined Preemptive SJF and Preemptive Priority Algorithm to Enhance CPU Utilization

... The working policy of SJF associates the burst time of execution with the process. When a process with smaller burst time arrives in the ready queue, CPU is assigned to that process next. If the burst time of next two ... See full document

5

A hybrid algorithm for unrelated parallel machines scheduling   Pages 681-702
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A hybrid algorithm for unrelated parallel machines scheduling Pages 681-702 Download PDF

... parallel machines, but still there are few works about unrelated parallel machines ...parallel machines scheduling with their objective to minimize earliness, tardiness and completion time ...genetic ... See full document

22

Online Scheduling of Jobs for D-benevolent instances On Identical Machines

Online Scheduling of Jobs for D-benevolent instances On Identical Machines

... In this paper we consider D-benevolent instances on m identical machines and give a new algorithm. As mentioned, the previous upper bound for this problem is 4m and lower bound is unknown which is a big gap ... See full document

10

Orchestrating Similar Stream Processing Jobs to Merge Equivalent Subjobs

Orchestrating Similar Stream Processing Jobs to Merge Equivalent Subjobs

... Therefore, we introduce how the concept of fan-out is used in this experimental analysis. Fi- gure 5.1b illustrates the benchmark application. The heavy (H) task is shared and the light (L) task is different for each ... See full document

53

OPTIMIZATION OF MATERIAL FLOW IN FLEXIBLE MANUFACTURING SYSTEM

OPTIMIZATION OF MATERIAL FLOW IN FLEXIBLE MANUFACTURING SYSTEM

... Flexible manufacturing systems have evolved as a solution to efficient mid-volume production of a variety of part types with low setup time, low work-in-process, low inventory, short manufacturing lead time, high ... See full document

7

Improvised Genetic Approach for an Effective
          Resource Allocation in Cloud Infrastructure

Improvised Genetic Approach for an Effective Resource Allocation in Cloud Infrastructure

... genetic algorithm approach is proposed for improving resource allocation in cloud computing ...of algorithm and effectively handles vertical elasticity by adding resources in cloud ...genetic ... See full document

10

Minimization of Utilization Time for Specially Structured n × 3 Scheduling Model with Jobs in a String of Disjoint Job Blocks

Minimization of Utilization Time for Specially Structured n × 3 Scheduling Model with Jobs in a String of Disjoint Job Blocks

... The algorithm developed in this paper for specially structured three stage flow shop scheduling problem having probabilities associated to the processing times and with jobs processed in a string of ... See full document

5

Multi-modal image analysis for semi-automatic segmentation of the total liver and liver arterial perfusion territories for radioembolization

Multi-modal image analysis for semi-automatic segmentation of the total liver and liver arterial perfusion territories for radioembolization

... carcinoma; LPT: Liver perfusion territory; Lratio: Left LPT volume ratio; LtoW: Left LPT to entire liver volume; MAA: Macro-aggregated albumin; mCRC: Metastatic colorectal cancer; mHD: Maximum ... See full document

21

COMPUTER ASSISTED JOB SEQUENCING

COMPUTER ASSISTED JOB SEQUENCING

... Next button is enabled after pressing OK button to navigate to the data entry screen. In this screen, data entry sheet is displayed to enter processing times of jobs as selected earlier. If the user skips to enter ... See full document

5

On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals

On Quantifying and Understanding the Role of Ethics in AI Research: A Historical Account of Flagship Conferences and Journals

... and machines will have to reach common agreement on collective decisions, either by consensus or negotiated compromises when acting in a common environment ... See full document

14

Removing Similar Data Chunk Using Map Reducing Algorithm on Cloud Storage

Removing Similar Data Chunk Using Map Reducing Algorithm on Cloud Storage

... • Map Reduce is a framework for processing parallelizable and scalable problems across huge datasets using a large number of computers (nodes), collectively referred to as a cluster (if all nodes are on the same local ... See full document

7

A non-permutation flowshop scheduling problem with lot streaming: A Mathematical model   Pages 507-516
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A non-permutation flowshop scheduling problem with lot streaming: A Mathematical model Pages 507-516 Download PDF

... reorder jobs between machines. In addition, the jobs can be divided into manageable sublots, a strategy known as lot ...of jobs into additional sublots does not improve the ... See full document

10

Cloud Computing Online Scheduling

Cloud Computing Online Scheduling

... scheduling algorithm is needed to assign tasks to resources in ...colony algorithm is ...virtual machines in scheduling ...proposed algorithm achieved the better load balance than ... See full document

11

A New Job Shop Heuristic Algorithm for Machine Scheduling Problems

A New Job Shop Heuristic Algorithm for Machine Scheduling Problems

... proposed algorithm has been developed based on some primary dispatching rules including “earliest due date” of each job, “shortest processing time” of each operation, “least tardiness” of operations in each ... See full document

11

Special Case Algorithm for N-jobs M-machines Flow Shop Scheduling Problems

Special Case Algorithm for N-jobs M-machines Flow Shop Scheduling Problems

... Thus, the interchanging of job and I reduces the value of , . Hence, job should be done before job I . Therefore, the conditions stated in the above theorem are satisfied.Now, by repeatedly applying the above rule, , can ... See full document

5

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