A novel water wave optimization based memetic algorithm for flow-shop scheduling

Author(s):  
Xin Yun ◽  
Xiaoyi Feng ◽  
Xin Lyu ◽  
Shouyang Wang ◽  
Bo Liu
Author(s):  
Jia-Yu Wu ◽  
Xue Wu ◽  
Xue-Qin Lu ◽  
Yi-Chen Du ◽  
Min-Xia Zhang

2014 ◽  
Vol 573 ◽  
pp. 362-367
Author(s):  
Senthil Vairam ◽  
V. Selladurai

Parallel machine shop scheduling problem can be stated as finding a schedule for a general task graph to execute on a customed flow so that the schedule length can be minimized. Parallel Flow Shop Scheduling with a case study has been . In this study we present an effective memetic algorithm to solve the problem. Also evaluating the performance of two algorithms (genetic algorithm and memetic algorithm) in terms of both the quality of the solutions produced and the efficiency. These results demonstrate that the memetic algorithm produces better and quality solutions and hence it is very efficient . KEY WORDS: Hybrid Flow Shop Scheduling, Multiprocessor, Memetic algorithm.


2011 ◽  
Vol 339 ◽  
pp. 332-335 ◽  
Author(s):  
Parinya Kaweegitbundit

This paper considers flow shop scheduling problems with sequence dependent setup time. The makespan criterion has been considered. In this paper presented a comparison of three heuristics for solves this problem. The memetic algorithm, genetic algorithm and NEH heuristic have been compared. In the experimental, the result from memetic algorithm is maximum the best solution. Therefore, the MA heuristic outperforms other heuristic.


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