[PDF] Top 20 A New Multi-objective Job Shop Scheduling with Setup Times Using a Hybrid Genetic Algorithm

... Job shop scheduling problem is seldom considered sequence-dependent setup times because SDST scheduling problem is more ...branch-and-bound algorithm for a SDST ... See full document

... a hybrid genetic algorithm (HGA) based on GA and VNS for the ...our algorithm can be very effective with respect to the state of the ...proposed algorithm to solve the ...our ... See full document

... some genetic algorithms 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 ... See full document

... two-level multi-start simulated annealing (TLMSA) heuristic with the objectives of simultaneously minimizing the makespan and the total flow time (or total ...The job preemption may improve the schedule ... See full document

... m-machine Job shop scheduling (JSP) problem is one of the general production scheduling problems in manufacturing ...system. Scheduling problems vary widely according to specific ... See full document

... proposed Hybrid Differential Evolution (HDE) algorithm for no-wait flow shop ...flow shop problem by DE, the largest amount method was used in order to convert real vectors in DE to job ... See full document

... a hybrid algorithm for the Flexible Job-Shop Scheduling Problem ...Our algorithm allocates, in a first step, the machines to operations and in a second stage it sequences them by ... See full document

... scale job shop scheduling ...heuristic algorithm for solving scheduling problem of flow shop with receiving and delivery just in ...The job-shop scheduling ... See full document

... the shop floor, as well as their processing times for each operation and setup times) and scheduling (inserted into the GA as the fitness function based on the modified algorithm ... See full document

... study, Genetic Algorithm (GA) and Gravitational Search Algorithm (GSA) are used as enhancement method in dispatching rules to form a complete scheduling ...dynamic multi-attribute ... See full document

... Crossover plays an important role in exchange data between chromosomes. The used crossover operator in this study is Precedence Operation Crossover (POX). In this operator, two offspring are generated by means of 2 ... See full document

... Molga [MOL05] suggested in this paper on “Test functions for optimization needs” provides the review of literature benchmarks (test functions) commonly used in order to test optimization procedures dedicated for ... See full document

... optimization algorithm developed by Xin-she Yang and Suash Deb in ...a new nest elsewhere. Some cuckoo species such as the New World brood- parasitic Tapera have evolved in such a way that female ... See full document

... optimal scheduling system must provide a friendly user interface, must be adaptable to different production systems, to optimize machines utilization, avoid overloading the available storages and so ...better ... See full document

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

... of job block is significant in scheduling systems where certain orderings of jobs are prescribed either by technological constraints or by externally imposed ...equivalent job for job block in ... See full document

... colony algorithm (ACA) to solve the JSSP with the objective of minimizing the maximum completion time, or ...proposed algorithm is based on model designed by Ahmadizar [17] for the permutation flow ... See full document

... multiple objective formulation of a reliability allocation problem to maximize system reliability and minimize system cost has been considered by Sakawa [2] using surrogate worth tradeoff ...multiple ... See full document

... Abstract: Job-shop manufacturing environment requires planning of schedules for the systems of low-volume having numerous ...a job-shop scheduling, ‘k’ number of operations and ‘n’ ... See full document

... computational times limit the applicability of enumeration methods to small-scale problems ...the genetic algorithm, simulated annealing algorithm, and ant colony optimization algorithm ... See full document