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A local search algorithm: minimizing makespan of deteriorating jobs with relaxed agreeable weights
Author(s) -
Anjulika Gupta,
Prabha Sharma,
Hemant Salwan
Publication year - 2017
Publication title -
euro journal on computational optimization
Language(s) - English
Resource type - Journals
eISSN - 2192-4414
pISSN - 2192-4406
DOI - 10.1007/s13675-017-0086-2
Subject(s) - job shop scheduling , mathematical optimization , local search (optimization) , constant (computer programming) , computer science , algorithm , mathematics , schedule , programming language , operating system
In this paper, we consider the problem of minimizing makespan of n deteriorating jobs on a single machine. Rates of deterioration are job-dependent and constant with respect to the starting times. Jobs begin to deteriorate after a common critical date ‘d.’ The concept of relaxed agreeable weights is introduced. It is shown that the problem is NP-hard. The condition of relaxed agreeable weights and the structure of the problem are used to show that our local search algorithm, to obtain a locally optimal solution, will require polynomial effort in the number of jobs.

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