[PDF] Top 20 Parallel Line and Machine Job Scheduling Using Genetic Algorithm

... next job is presented. No re-assignment is allowed. Parallel jobs may require more than one machine ...of job Ji, its processing time and the number of machines required become known, and it ... See full document

... a job on these ...Grouping Job Scheduling ...grained job or grouped job according to the necessity jobs and source ...each job to recognize the real grid ...proposed ... See full document

... each job has unique route or order to visit ...Every job has unique path or order to visit machine. In Job Shop Scheduling each job has prespecified path of ...Each job ... See full document

... of job scheduling in cloud computing using artificial intelligence techniques such as genetic algorithm and ant ...trained using different learning rates, parameters and ... See full document

... infrastructure and platform where the application runs is transparent to the cloud users. The need to install and run the application on the cloud user’s own computers is not needed, which simplifies maintenance and ... See full document

... The source codes for all the above algorithms are developed using the computer language ‘C’ and the tests are run on a PC with a Pentium –III processor. All the source codes are generalized in such a way that they ... See full document

... The Job-shop Scheduling Problem (JSP) is considered to be one the most complex combinatorial problems in computer science belonging to the class of NP Complete ...each job is formed by a sequence of ... See full document

... Lots of algorithms and procedures have been proposed for efficiently sche- duling JSP, which are divided into three major groups: 1) the exact algorithms; such as the one proposed by Giffler and Thompson (1960), and ... See full document

... each machine with the job number and the processing routine as the ...as machine based encoding (Falkenauer and Bouffouix 1991; Yu and Liang, 2001) are very commonly used in ...different job ... See full document

... solution algorithm for the problem of minimizing the makespan on equipotential parallel machines at every stage in two stage flow shop scheduling ...which parallel equipotential machines are ... See full document

... each job. JSSP is a sequencing problem with no machine substitute for each operation while in FJSSP, alternative machines are considered for each ...an algorithm have been proposed to find ... See full document

... of job scheduling in cloud computing using artificial intelligence techniques such as genetic algorithm and ant ...trained using different learning rates, parameters and ... See full document

... proposed Genetic Algorithm (GA) for task scheduling in heterogeneous parallel multiprocessor system to minimize the finish time including execution time and waiting or idle time and increase ... See full document

... a scheduling problem for a given set of independent jobs on unrelated parallel machines to minimize the total weighted ...branch-and-bound algorithm incorporated with various dominance rules along ... See full document

... a job maybe subject to change due to effects of learning and ...the scheduling problems. Mosheiov [13] considered the single machine problem under linear deterioration for minimizing the total ... See full document

... Genetic algorithm (GA) is a kind of evolutionary optimization method as proposed by Holland [3]. The principle of GA is based on the natural evolution and has been applied to analyze various types of ... See full document

... A Genetic algorithm (GA) is used to solve the parallel machine problem in planning stage of the manufacturing system with the objective of minimize the imbalance of workload among the ... See full document

... new algorithm called knowledge based non-dominated sorting genetic algorithm ...flexible job-shop schedules in the algorithm named ... See full document

... on job processing. Each job cannot be started at one ...production machine then one of the job must wait for another job done ...The job placement waiting time on the production ... See full document

... Tasks scheduling using genetic algorithms in parallel multi-processor systems 4.1 Chromosomes and Encoding The purpose of this study is to find a sequence of tasks so that the number of [r] ... See full document