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[PDF] Top 20 Solving Job Shop Scheduling Problem Using an Ant Colony Algorithm

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Solving Job Shop Scheduling Problem Using an Ant Colony Algorithm

Solving Job Shop Scheduling Problem Using an Ant Colony Algorithm

... the job shop scheduling problem, which has been proved to be a NP-complete problem ...Each job needs m operations and each operation needs to be processed without preemption for ... See full document

8

Job Shop Scheduling Using Hybrid Genetic Algorithm

Job Shop Scheduling Using Hybrid Genetic Algorithm

... for shop scheduling problems. In a shop scheduling problem, a set of jobs has to be processed on a set of machines such that a specific optimization criterion is ...flow shop ... See full document

6

A Modified Iterated Greedy Algorithm for Flexible Job Shop Scheduling Problem

A Modified Iterated Greedy Algorithm for Flexible Job Shop Scheduling Problem

... for solving the flexible job shop scheduling ...the algorithm can find the global optimum solution for small and medium scale ...proposed algorithm has obtained optimum solutions ... See full document

11

An Improved Solution Algorithm for Two-Job Shop Scheduling Problems with Availability Constraints

An Improved Solution Algorithm for Two-Job Shop Scheduling Problems with Availability Constraints

... polynomial algorithm for solving the two-job shop scheduling problem with availability constraints in the strictly non-premptive ... See full document

6

EFFICIENT GENERATION OF NEAR OPTIMAL INITIAL POPULATIONS TO ENHANCE GENETIC ALGORITHMS FOR JOB-SHOP SCHEDULING

EFFICIENT GENERATION OF NEAR OPTIMAL INITIAL POPULATIONS TO ENHANCE GENETIC ALGORITHMS FOR JOB-SHOP SCHEDULING

... for solving the Job-Shop Scheduling Problem (JSSP), by generating near optimal initial ...individuals using genetically evolved priority dispatching ...of scheduling with ... See full document

6

Multi-Objective for a Partial Flexible Open Shop Scheduling Problem using Hybrid Based Particle Swarm Algorithm and Ant Colony Optimization

Multi-Objective for a Partial Flexible Open Shop Scheduling Problem using Hybrid Based Particle Swarm Algorithm and Ant Colony Optimization

... Objectives: Using the multi-objective method is to solve the partial flexible open-shop scheduling problem (PFOSP), this paper optimizes the three objectives of minimizing the makespan, the ... See full document

8

Tabu search method for solving multiobjective job shop scheduling problem

Tabu search method for solving multiobjective job shop scheduling problem

... on job shop scheduling problem. Job shop is a model of solution for a scheduling and sequencing ...the job shop model when there are machines and each ... See full document

28

OFFLINE HANDWRITTEN SIGNATURE RECOGNITION USING HISTOGRAM ORIENTATION GRADIENT 
AND SUPPORT VECTOR MACHINE

OFFLINE HANDWRITTEN SIGNATURE RECOGNITION USING HISTOGRAM ORIENTATION GRADIENT AND SUPPORT VECTOR MACHINE

... Flexible job-shop scheduling problem (FJSP) is one of the instances in flexible manufacturing ...this problem domain is difficult. FJSP inherits the job-shop ... See full document

11

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

... simulated annealing, genetic algorithms etc. In recent years, the adoption of meta-heuristics like GA has led to better results than classical dispatching or heuristic algorithms [2]. Solving scheduling ... See full document

6

Job Scheduling for Cloud Computing Using  Neural Networks

Job Scheduling for Cloud Computing Using Neural Networks

... problems. Job scheduling is considered one of the main issues and hottest research topic in cloud com- ...of job scheduling system is to find the best resources in a cloud for the cloud ... See full document

10

Solving the Dynamic Job Shop Scheduling Problem using Bottleneck and Intelligent Agents based on Genetic Algorithm

Solving the Dynamic Job Shop Scheduling Problem using Bottleneck and Intelligent Agents based on Genetic Algorithm

... for solving flexible JS problem ...metaheuristic algorithm for solving FS problem [14, ...solved scheduling problem of flexible JS ...for solving scheduling ... 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 job shop scheduling is known to be a strong NP-hard ...the job shop scheduling included “m” objectives must also be an NP-hard ...for solving multi-objective ... See full document

9

A Novel Artificial Immune Algorithm for Solving the Job Shop Scheduling Problem

A Novel Artificial Immune Algorithm for Solving the Job Shop Scheduling Problem

... We introduced a novel Artificial Immune Algorithm to solve Job-shop scheduling problem. In order to generate a good population of initial solutions, a small change is applied into ... See full document

8

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

... optimization algorithm which uses iterations to improve the solution. This algorithm solved the problem by moving the candidate solutions by applying common mathematical formulae over the candidate ... See full document

5

An ant colony optimization-based algorithm for minimizing the makespan of a job shop problem

An ant colony optimization-based algorithm for minimizing the makespan of a job shop problem

... a colony of artificial ants cooperates in finding good solutions to combinatorial optimization ...of ant colonies appears in their foraging ...without using visual ... See full document

26

Job Scheduling in Cloud Computing using Ant Colony Optimization

Job Scheduling in Cloud Computing using Ant Colony Optimization

... Scheduling performed using several algorithms are studied in the literature ...artificial ant colony that was capable of solving ...without using visual ...the algorithm ... See full document

8

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 ... See full document

14

Using Simulated Annealing and Ant Colony Optimization Algorithms to Solve the Scheduling Problem

Using Simulated Annealing and Ant Colony Optimization Algorithms to Solve the Scheduling Problem

... second algorithm (ACO) is a meta-heuristic method proposed by Marco Dorigo[19] in 1992 in his PhD thesis about optimization, learning and natural ...for solving computational problems where these problems ... See full document

17

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

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

... optimization algorithm inspired by the social behaviour of birds flocking and fishes shoaling with its ...of scheduling the optimization ...The job scheduling problem is used for ... 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 [1]. Its approach is based on randomly generating a new set (generation) of solutions from an existing ... See full document

8

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