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Multi-Criteria SDST Flow shop Scheduling: Using metaheuristics - Couverture souple

Dhingra, Ashwani

 
9783659164729: Multi-Criteria SDST Flow shop Scheduling: Using metaheuristics

Synopsis

This book contains some aspects of flow shop scheduling problems including sequence dependent set up time with minimization of multi-criteria fitness function.There are different criteria's which have to be optimized for the customer and industrial requirement. The present work dealt with multi-criteria fitness function which includes weighted sum of total weighted squared tardiness, Makespan, Total weighted earliness and number of tardy jobs.Multi-criteria fitness function is very difficult to be optimised as there is tradeoff between different criteria. Metaheuristic like genetic algorithm and simulated annealing is a powerful techniques for the solution of such type of scheduling problems. Hybridization of different metaheuristic such as Genetic algorithm and simulated annealing has also been proposed for such type of scheduling problems. These metaheuristics tested proves to be powerful methods for solution to these type of NP hard problems in a reasonable time.

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Présentation de l'éditeur

This book contains some aspects of flow shop scheduling problems including sequence dependent set up time with minimization of multi-criteria fitness function.There are different criteria's which have to be optimized for the customer and industrial requirement. The present work dealt with multi-criteria fitness function which includes weighted sum of total weighted squared tardiness, Makespan, Total weighted earliness and number of tardy jobs.Multi-criteria fitness function is very difficult to be optimised as there is tradeoff between different criteria. Metaheuristic like genetic algorithm and simulated annealing is a powerful techniques for the solution of such type of scheduling problems. Hybridization of different metaheuristic such as Genetic algorithm and simulated annealing has also been proposed for such type of scheduling problems. These metaheuristics tested proves to be powerful methods for solution to these type of NP hard problems in a reasonable time.

Biographie de l'auteur

Dr. Ashwani K. Dhingra is serving in Deptt. of Mech. Engg., U.I.E.T at M.D University Haryana INDIA. He has obtained Bachelors degree from M.D University,Masters Degree from P.E.C Chandigarh and Ph.D degree from N.I.T Kurukshetra in Mechanical Engineering. He has published more than 20 research papers in Journals/Conferences of repute.

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