Search Results - (( java implementation learning algorithm ) OR ( problem based scheduling algorithm ))
Search alternatives:
- implementation learning »
- java implementation »
- learning algorithm »
- based scheduling »
-
1
Development of Simulated Annealing Based Scheduling Algorithm for Two Machines Flow Shop Problem
Published 2015“…Viewing as optimization problem and focusing on two machines, this research aims to develop a new Simulated Annealing based scheduling algorithm, called SA2M, for flow shop problem. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
2
A Modified Giffler and Thompson Genetic Algorithm on the Job Shop Scheduling Problem
Published 2006“…The goal of this research is to study an efficient scheduling method based on Genetic Algorithm (GA) to address JSSP. …”
Get full text
Get full text
Get full text
Article -
3
-
4
Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm
Published 2008“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
Get full text
Get full text
Get full text
Thesis -
5
Optimization of cost-based hybrid flowshop scheduling using teaching-learning-based optimization algorithm
Published 2024“…This paper investigates the optimization of a CHFS problem using the Teaching Learning-Based Optimization (TLBO) algorithm. …”
Get full text
Get full text
Get full text
Article -
6
Multi-objective pareto ant colony system based algorithm for generator maintenance scheduling
Published 2022“…Existing multi-objective Generator Maintenance Scheduling (GMS) models have considered unit commitment problem together with unit maintenance problem based on a periodic maintenance strategy. …”
Get full text
Get full text
Get full text
Thesis -
7
Fuzzy C-Mean And Genetic Algorithms Based Scheduling For Independent Jobs In Computational Grid
Published 2006“…Our model presents the method of the jobs classifications based mainly on Fuzzy C-Mean algorithm and mapping the jobs to the appropriate resources based mainly on Genetic algorithm. …”
Get full text
Get full text
Article -
8
Enhancement of Ant System Algorithm for Course Timetabling Problem
Published 2009“…As a member of the NP Problem, an exact algorithm to solve the course scheduling problem is not available to date. …”
Get full text
Get full text
Get full text
Thesis -
9
Hybrid multiobjective genetic algorithm for integrated dynamic scheduling and routing of jobs and automated guided vehicles in flexible manufacturing systems
Published 2014“…Genetic algorithm has recorded of huge success in solving NP-Complete optimization problems with similar nature to this problem. …”
Get full text
Get full text
Thesis -
10
A survey : particle swarm optimization-based algorithms for grid computing scheduling systems.
Published 2013“…Each scheduling algorithm is described and discussed under the suitable category.…”
Get full text
Get full text
Get full text
Article -
11
Enhancing Market-Based Scheduling Algorithm on Globally Distributed Web Servers Using Least Suitable Sealed Bid Technique
Published 2006“…Scheduling of a multiple distributed servers is considered as a complex problem.considered as NP-complete problem,where no single efficient algorithm guaranteed to produce optimal results.This thesis investigates on how to find optimal solution for distribute system,by implementing market based scheduling Algorithm(MBSA).On implementing the MBSA, a new auction technique which is the least suitable sealed bid auction will be introduced.it is found that least suitable sealed bid technique will give the close-to-optimum solution.In the implementation, cooperative agents were used as a middleware between web servers and stand-alone schedulers. …”
Get full text
Get full text
Thesis -
12
Hybrid ant colony system algorithm for static and dynamic job scheduling in grid computing
Published 2015“…The complexity of scheduling problem is considered as a nondeterministic polynomial complete (NP-complete) problem and therefore, an intelligent algorithm is required to achieve better scheduling solution. …”
Get full text
Get full text
Get full text
Thesis -
13
-
14
Innovative crossover and mutation in a genetic algorithm based approach to a campus bus driver scheduling problem with break consideration and embedded overtime
Published 2013“…The unfairness of job distribution and the ineffectiveness of break-time assignment among bus drivers are factors identified as problem issues in the bus driver management in a university campus environment.The issues affect the quality of the bus service which then pointed to the efficiency or inefficiency of the bus driver scheduling system.Thus, this study investigates the problem and constraints connected to bus driver scheduling activities as a case in a campus environment.Therefore, we developed an efficient bus driver scheduling model based on the Genetic Algorithm (GA) approach. …”
Get full text
Get full text
Get full text
Article -
15
A hybrid constraint-based programming approach to design a sports tournament scheduling
Published 2011“…Subsequently,previous work related to the problem is discussed. Thus, we present an innovative hybrid of a constraint-based algorithm and a neighbourhood search, which is an exploration into alternative and improved methodology in the problem of sports tournament scheduling with special multiple constraints. …”
Get full text
Get full text
Get full text
Article -
16
Enhanced utility accrual scheduling algorithms for adaptive real time system.
Published 2009“…Problem statement: This study proposed two utility accrual real time scheduling algorithms named as Preemptive Utility Accrual Scheduling (PUAS) and Non-preemptive Utility Accrual Scheduling (NUAS) algorithms. …”
Get full text
Article -
17
A trade-off criterion for bi-objective problem in solving hybrid flow shop scheduling with energy efficient (EE-HFS) using multi-objective dragonfly algorithm (MODA)
Published 2024“…The (EE-HFS) optimization has been carried out using the Multi-Objective Dragonfly Algorithm (MODA). The optimization result was compared with well-established algorithms, the Pareto Envelope-based Selection Algorithm II (PESA2), Multi-Objective Evolutionary Algorithm Based on Decomposition (MOEA/D), and new algorithms, Multi-Objective Grasshopper Optimization Algorithm (MOGOA) and Multi-Objective Ant Lion Optimizer (MOALO). …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment
Published 2014“…The main disadvantage of GA algorithm is time consuming problem. In this study, a novel Simulated Annealing (SA) algorithm is proposed for scheduling task in cloud environment. …”
Get full text
Get full text
Get full text
Article -
19
A sports tournament scheduling problem: Exploiting constraint-based algorithm and neighborhood search for the solution
Published 2012Get full text
Get full text
Get full text
Conference or Workshop Item -
20
Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem
Published 2017“…In this study, we aim to optimize task scheduling and resource utilization using an evolutionary algorithm based on the proposed completion time and monetary cost of cloud service models. …”
Get full text
Get full text
Get full text
Thesis
