multi-objective genetic scheduling algorithm
An Efficient Multi-Objective Genetic Algorithm for Optimization of Task Scheduling in Cloud Computing
... Job scheduling is very demanding task in cloud computing because it has parallel and distributed ...Task scheduling and allocation of resources are main problem areas in both Grid and in cloud ...The ...
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Using Genetic Algorithm to Robust Multi Objective Optimization of Maintenance Scheduling Considering Engineering Insurance
... Using Genetic Algorithm to Robust Multi ... 3 chine or equipment failure before any maintenance action is taken. It is also the most expensive method of maintenance management. While the Preventive ...
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A New Multi-objective Job Shop Scheduling with Setup Times Using a Hybrid Genetic Algorithm
... consider multi-objective job shop scheduling with sequence-dependent setup times ...in scheduling decisions ...shop scheduling with setup times is more complex and NP-hard and ...
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A multi-objective genetic algorithm (MOGA) for hybrid flow shop scheduling problem with assembly operation
... hard,themulti-objective genetic algorithm (MOGA) is used to solve this problem in two ...proposed algorithm, the new population is selected based on non-dominance rule and fitness ...proposed ...
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Hybrid fuzzy-stochastic approach to multi-product, multi-period, and multi-resource master production scheduling problem: Case of a polyethylene pipe and Fitting manufacturer
... a multi-level, capac- itated lot-sizing problem in a furniture ...and scheduling problems. In this mathematical model, when scheduling is not fea- sible, capacity information is forwarded to ...
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Efficient QoS Based Tasks Scheduling using Multi-Objective Optimization for Cloud Computing
... tasks scheduling algorithm in cloud computing that are based on ...Priority scheduling, FCFS (First Come First Serve), SJF (Shortest Job First) [3,4] are the traditional scheduling methods for ...
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A Genetic Algorithm Approach for Multi category Preventive Maintenance Scheduling
... new scheduling problem that allows multi-category preventive maintenance (PM) ...advanced genetic algorithm (GA) approach, named the Second Generation of Genetic Algorithms with ...
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A hybrid genetic-gravitational search algorithm for a multi-objective flow shop scheduling problem Pages 331-348 Download PDF
... GSA has been widely used in mathematic area, data mining, pattern recognition and various engineering application due to its capability of reaching the optimum solution. However, there are only a handful of studies using ...
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Optimization of a multi-objective-multi period traveling salesman problem with pickup and delivery using genetic algorithm
... The Traveling Salesman Problem (TSP) is one of the most famous mathematical models which placed in NP-hard combinatorial optimization problems (Lawler et al., 1985). The TSP purpose is to find the closed route of the ...
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Evolutionary Algorithm Based Multi-Objective Tasks Scheduling Algorithm in Cloud Computing
... tasks scheduling algorithm in cloud computing that are based on ...Priority scheduling, FCFS (First Come First Serve), SJF (Shortest Job First) [3,4] are the traditional scheduling methods for ...
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A HYBRID GENETIC ALGORITHM FOR A BI-OBJECTIVE SCHEDULING PROBLEM IN A FLEXIBLE MANUFACTURING CELL
... hybrid multi- objective GA (HMOGA) for scheduling machines and AGV in FMS ...proposed algorithm is combined with a heuristic approach in order to schedule ...the scheduling literature ...
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Solving a multi-objective resource-constrained project scheduling problemusing Cuckoo optimizationalgorithm
... the multi-objective ...the multi-objective, multi-mode RCPSP with consideration of resource ...problem. Objective functions used in this research include project comple- tion ...
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Multi-objective Flexible Scheduling Optimization Scheme base on Improved DNA Genetic Algorithm
... The strategy for preserving elites is: first, if the elite individuals participate and the new solutions dominate part of the elite population solutions, wipe off the dominated solutions and add some new solutions. After ...
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Literature Review on Genetic Algorithm
... Constrained Scheduling of Processes in Real Time CPU Using Multi Objective Genetic Algorithm “a new approach to window constrained scheduling, suitable for weakly-hard real-time ...
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The Multi-Objective Genetic Algorithm Based Techniques for Intrusion Detection
... - objective optimization is proposed in ...existing multi-objective optimization ...and genetic variation operators are also ...steady-state genetic algorithm that maintains an ...
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Computational steering of a multi-objective genetic algorithm using a PDA
... Some other parameters that we can adjust in our steering system are the upper and lower bounds on the decision variables, the population size (either by increasing the number of immigrants or increasing the number of ...
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Cost Optimization of Supply Chain Network: A Case Study of TMT Bar Manufacturing Company
... The multi objective optimization shows that in different situations D/S ratio is less than one meaning there by that there is no ...situation multi objective GA gives better result. The ...
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Using Multi-Objective Genetic Algorithm on Order Picking System
... use genetic algorithm (GA) to optimize item allocation with reducing travel time of ...heuristic algorithm in order to find an approximation solution for storage assignment problem with considers ...
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A New Multi Objective Genetic Algorithm for Use in Investment Management
... Generally, the result of the problem consists of efficient portfolios. A portfolio is said to be efficient (or Pareto optimal or non-dominated) if and only if there is no other feasible portfolio that improves at least ...
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Clustering K-Means Optimization with Multi- Objective Genetic Algorithm
... using genetic algorithm if it has a single objective, or Multi-Objective Genetic Algorithm if the goal is to see more than one of several influece ...
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