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[PDF] Top 20 Flow shop scheduling using genetic algorithm

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Flow shop scheduling using genetic algorithm

Flow shop scheduling using genetic algorithm

... ,QWKHSUHVHQWVWXG\*$LVDSSOLHGWRVROYHWKHIORZVKRSVFKHGXOLQJSUREOHP'LIIHUHQWVL]HVRISUREOHPV DUHFRQVLGHUHGIRUDQDO\VLV,QLPSOHPHQWLQJ*$VLQJOHSRLQWFURVVRYHUWZRSRLQWFURVVRYHUVKLIWPXWDWLRQDQG UDQG[r] ... See full document

9

OPTIMISATION OF JOB SHOP SCHEDULING USING SHIFTING BOTTLENECK TECHNIQUE

OPTIMISATION OF JOB SHOP SCHEDULING USING SHIFTING BOTTLENECK TECHNIQUE

... of scheduling machines is a difficult task to reach the due date of the ...Job Shop Scheduling have been solved by different algorithms and methods based on the sequence operation constraints and ... See full document

6

Optimization of Realistic Multi-Stage Hybrid Flow Shop Scheduling Problems with Missing Operations Using Meta-Heuristics

Optimization of Realistic Multi-Stage Hybrid Flow Shop Scheduling Problems with Missing Operations Using Meta-Heuristics

... hybrid flow shop scheduling with machines which are not continuously available due to preventive maintenance ...PSO algorithm for clearance between the machines in the design of loop ... See full document

13

A Bias Random Key Genetic Algorithm for a AGV Scheduling Problem

A Bias Random Key Genetic Algorithm for a AGV Scheduling Problem

... factory using different types of AGVs, with different hardware and software, making the com- munication between AGVs more difficult and, in case of malfunction, the AGVs where hard to substitute by another without ... See full document

48

A Constructive hybrid genetic algorithm for the flowshop scheduling problem

A Constructive hybrid genetic algorithm for the flowshop scheduling problem

... all the machines its processing flow continues to be the same but with time zero whenever that happens. A machine processes just a single job and once it is started it cannot be interrupted up to its completion. ... See full document

5

Revisiting the NEH algorithm- the power of job insertion technique for optimizing the makespan in permutation flow shop scheduling

Revisiting the NEH algorithm- the power of job insertion technique for optimizing the makespan in permutation flow shop scheduling

... NEH Algorithm, Ruiz reported an average increase of ...NEHAB3 algorithm that selects the first two jobs as the initial partial sequence from the original data without sequencing the jobs initially, reports ... See full document

14

Research and Applications of Shop Scheduling Based on Genetic Algorithms

Research and Applications of Shop Scheduling Based on Genetic Algorithms

... improved genetic algorithm of a kind of cyclic search applied in shop scheduling problem, the crossover operation and mutation operation can have cyclic search in ...standard shop ... See full document

7

A case study on Machine scheduling and sequencing using Meta heuristics

A case study on Machine scheduling and sequencing using Meta heuristics

... The scheduling problems are classified into single machine scheduling, flow shop scheduling job shop scheduling, open shop scheduling, and hybrid ...open ... See full document

4

Project Scheduling problem using metaheuristic algorithm

Project Scheduling problem using metaheuristic algorithm

... In this paper we solve Time-Cost trade-off project, in a way that sees decision maker preferences and cares about resource restriction simultaneously. Cause of being a part of NP-hard questions we use a meta-initiative ... See full document

11

A Genetic Algorithm Approach for the Scheduling in a Robotic-Centric Flexible Manufacturing System

A Genetic Algorithm Approach for the Scheduling in a Robotic-Centric Flexible Manufacturing System

... Two different parts types can circulate in the system, each one having a par- ticular process plan as illustrated in Table 1. The circulation of parts within the flexible production system is tracked by a radio-frequency ... See full document

8

Job shop scheduling with makespan objective: A heuristic approach

Job shop scheduling with makespan objective: A heuristic approach

... hybrid algorithm called MPSO consisting of particle swarm optimization (PSO), a multiple-type individual enhancement (MIE) scheme based on SA technique, and random-key (RK) encoding scheme for solving the ... See full document

8

A Hybrid Genetic Algorithm Approach for Concave Minimum Cost Network Flow Problems

A Hybrid Genetic Algorithm Approach for Concave Minimum Cost Network Flow Problems

... Hybrid Genetic Algorithm (HGA), where a local search strategy is incorpo- rated into a GA, to solve the SSU MCNFP with general concave ...search algorithm tries to improve the solutions in the ... See full document

6

JISTEM J.Inf.Syst. Technol. Manag.  vol.12 número3

JISTEM J.Inf.Syst. Technol. Manag. vol.12 número3

... railway scheduling problem has received considerable attention from both practitioners and ...by using novel heuristic optimization approaches in the multi-objective passenger railway scheduling ... See full document

20

A Real Time Practical Approach for Multi Objective Job Shop Scheduling Using Fuzzy Logic Approach

A Real Time Practical Approach for Multi Objective Job Shop Scheduling Using Fuzzy Logic Approach

... Job Shop problems are known to be NP hard and probably as a consequence of this scheduling has been an active area of research for many years (ElMaraghy et ...real-world scheduling problems are ... See full document

7

Trip Frequency Scheduling for Traffic Transportation Management based on Compact Genetic Algorithm

Trip Frequency Scheduling for Traffic Transportation Management based on Compact Genetic Algorithm

... Nowadays, electricity bus becomes an important traffic transfer in Naresuan University. An increasing proportion in passenger causes the problem of scheduling. In this paper, an appropriate traffic transportation ... See full document

3

New Hybrid Algorithms for Task Scheduling in Computational Grids to Decrease Makespan

New Hybrid Algorithms for Task Scheduling in Computational Grids to Decrease Makespan

... grid scheduling complicated, so the deterministic algorithms will not necessarily be efficient to solve these kinds of ...as Genetic Algorithm ...of genetic algorithm and also searching ... See full document

10

Test Scheduling of Core Based SOC Using Greedy Algorithm

Test Scheduling of Core Based SOC Using Greedy Algorithm

... test scheduling problem of core-based systems based on genetic ...In genetic core test scheduling formulation there is chromosomal representation, selection and reproduction, genetic ... See full document

6

Evolutionary approaches for scheduling a flexible manufacturing system with automated guided vehicles and robots

Evolutionary approaches for scheduling a flexible manufacturing system with automated guided vehicles and robots

... the scheduling of machines, an Automated Guided Vehicle (AGV) and two robots in a Flexible Manufacturing System (FMS) formed in three loop layouts, with objectives to minimize the makespan, mean flow time ... See full document

22

JOB SHOP RE- SCHEDULING USING GENETIC ALGORITHM – A CASE STUDY

JOB SHOP RE- SCHEDULING USING GENETIC ALGORITHM – A CASE STUDY

... in scheduling theory is that of the job-shop scheduling, as it has earned a reputation for being notoriously difficult to ...job-shop scheduling problem comes under the category of ... See full document

5

3 On the Effectiveness of Particle Swarm Optimization and Variable Neighborhood Descent for the Continuous Flow-Shop Scheduling Problem

3 On the Effectiveness of Particle Swarm Optimization and Variable Neighborhood Descent for the Continuous Flow-Shop Scheduling Problem

... continuous flow-shop scheduling problem with the objective to min- imize total flow-time as posed by van Deman and Baker [63] is theoreti- cally discussed by Gupta [21], Papadimitriou and ... See full document

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