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[PDF] Top 20 Optimization of pipe spool fabrication shop scheduling using genetic algorithm

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Optimization of pipe spool fabrication shop scheduling using genetic algorithm

Optimization of pipe spool fabrication shop scheduling using genetic algorithm

... resources, scheduling, inventory control etc. Among these topics, scheduling receives much attention from researchers due to the significant impact on productivity and successful of corporations in terms of ... See full document

27

Floor Layout Optimization Using Genetic Algorithm

Floor Layout Optimization Using Genetic Algorithm

... the algorithm. Commonly, the algorithm terminates when either a maximum number of generations has been produced, or a satisfactory fitness level has been reached for the ...the algorithm has ... See full document

5

Optimization of Construction Projects Scheduling Using Primavera and Genetic Algorithm

Optimization of Construction Projects Scheduling Using Primavera and Genetic Algorithm

... constraints using Genetic Algorithm (GA optimization ...a genetic algorithm approach to Resource Constraint Project Scheduling Problems (RCPSP) in construction ...profiles ... See full document

6

Optimization of Job Scheduling in Flow Shop Environment using Genetic Algorithm Considering Sequence Dependent Setup Times

Optimization of Job Scheduling in Flow Shop Environment using Genetic Algorithm Considering Sequence Dependent Setup Times

... Genetic algorithm is stochastic search procedure for combinatorial optimization problems based on the mechanism of natural selection and natural ...of genetic algorithm are ... See full document

5

HYBRID OPTIMIZATION FOR GRID SCHEDULING USING GENETIC ALGORITHM WITH LOCAL 
SEARCH

HYBRID OPTIMIZATION FOR GRID SCHEDULING USING GENETIC ALGORITHM WITH LOCAL SEARCH

... good scheduling strategy applied to local level (clusters)/global level (entire system) of ...As scheduling problem is NP complete, sub-optimal solutions alone to this problem can be ...solving ... See full document

7

A Modified Giffler and Thompson Genetic Algorithm on the Job
Shop Scheduling Problem

A Modified Giffler and Thompson Genetic Algorithm on the Job Shop Scheduling Problem

... Genetic algorithm (GA) is an optimization technique for a function defined over finite (discrete) ...search algorithm is heavily inspired by the mechanics of natural selection and natural ... See full document

17

A Tabu Search Method for a New Bi-Objective Open Shop Scheduling Problem by a Fuzzy Multi-Objective Decision Making Approach (RESEARCH NOTE)

A Tabu Search Method for a New Bi-Objective Open Shop Scheduling Problem by a Fuzzy Multi-Objective Decision Making Approach (RESEARCH NOTE)

... machines scheduling problems with sequence- dependent setup times and precedence constraints to minimize the number of tardy jobs and total completion time of all ...in scheduling problems, are an ant ... See full document

14

MONITORING POPULATION DIVERGENCE IN JOB SHOP SCHEDULING PROBLEMS USING GENETIC ALGORITHM

MONITORING POPULATION DIVERGENCE IN JOB SHOP SCHEDULING PROBLEMS USING GENETIC ALGORITHM

... Abstract: Genetic Algorithms (GAs) are widely used as population search techniques for solving combinatorial optimization problems like job shop scheduling ... See full document

11

Energy Saving Scheduling in a Flexible Flow Shop Using a Hybrid Genetic Algorithm

Energy Saving Scheduling in a Flexible Flow Shop Using a Hybrid Genetic Algorithm

... flow shop scheduling problems to mi- nimize the peak power load, energy consumption, and associated carbon foot- print along with the cycle ...flow shop with two machines producing various parts, the ... See full document

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													Hybridization of soft computing techniques for flow shop scheduling problem

1. Hybridization of soft computing techniques for flow shop scheduling problem

... an optimization algorithm inspired by the social behaviour of birds flocking and fishes shoaling with its ...of scheduling the optimization ...for optimization problems and it is ... See full document

7

Representations in Genetic Algorithm for the Job Shop Scheduling Problem: A Computational Study

Representations in Genetic Algorithm for the Job Shop Scheduling Problem: A Computational Study

... Genetic algorithm (GA) is a random search optimization technique that mimics the natural selection process ...of optimization problems ... See full document

8

Task Scheduling using Hybrid PSO in cloud based environment

Task Scheduling using Hybrid PSO in cloud based environment

... [17] Genetic algorithm is widely utilized in optimization troubles for its outstanding global seek approach and fairly parallel processing approach; Simulated annealing algorithm can keep away ... See full document

10

A New Multi-objective Job Shop Scheduling with Setup Times Using a Hybrid Genetic Algorithm

A New Multi-objective Job Shop Scheduling with Setup Times Using a Hybrid Genetic Algorithm

... job shop scheduling with sequence-dependent setup times ...in scheduling decisions ...NP-hard optimization problem [7]. Thus, the bi-objective job shop scheduling with setup ... See full document

12

Improved Solution to Job Shop Scheduling Problem with Delay Constraints using Genetic Algorithm

Improved Solution to Job Shop Scheduling Problem with Delay Constraints using Genetic Algorithm

... Job shop scheduling problem is one of the most difficult NP- hard combinatorial optimization ...a scheduling system should make the right decision at the right time according to system ... See full document

6

RANDOM LINEAR NETWORK CODING BASED MULTIPATH TRAFFICS OVER HETEROGENEOUS CLOUD 
RADIO ACCESS NETWORK

RANDOM LINEAR NETWORK CODING BASED MULTIPATH TRAFFICS OVER HETEROGENEOUS CLOUD RADIO ACCESS NETWORK

... Swarm Optimization (DPSO) by considering both makespan and total flowtime minimization as optimization criteria for solving the no-wait flowshop scheduling ...(VND) algorithm was proposed for ... See full document

12

Optimization of Thrust Force and Material Removal Rate in Turning EN-16 Steel Alloy using Taguchi Approach

Optimization of Thrust Force and Material Removal Rate in Turning EN-16 Steel Alloy using Taguchi Approach

... the optimization of a single criterion Therefore the multiple criteria analysis is ...job shop scheduling is known to be a strong NP-hard ...job shop scheduling included “m” objectives ... See full document

9

Job Shop Scheduling Using Hybrid Genetic Algorithm

Job Shop Scheduling Using Hybrid Genetic Algorithm

... many optimization problems within the last 30 ...some genetic algorithms for shop scheduling problems. In a shop scheduling problem, a set of jobs has to be processed on a set of ... See full document

6

Model Analysis on Job Shop Scheduling in Automobile Industry using Ant Colony Optimization and Particle Swarm Optimization

Model Analysis on Job Shop Scheduling in Automobile Industry using Ant Colony Optimization and Particle Swarm Optimization

... some genetic algorithms have been used to solve this ...Colony Optimization and Particle Swarm Optimization, techniques which are probabilistic and iterative respectively to solve the ...Swarm ... See full document

5

Cloud Load Balance on the Basis of Free Space on Cloud and Packet Size

Cloud Load Balance on the Basis of Free Space on Cloud and Packet Size

... Task Scheduling in Cloud Computing. Author have introduced the scheduling is a critical problem in Cloud computing, because a cloud provider has to serve many users in Cloud computing ...So ... See full document

6

Multi objective Flexible Job Shop Scheduling Optimization Using BFOA

Multi objective Flexible Job Shop Scheduling Optimization Using BFOA

... job-shop scheduling (FJS) is a branch of production scheduling, which is NP-hard combinatorial optimization problem ...like genetic algorithm (GA), particle swarm ... See full document

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