A Tabu Search Algorithm for an Excavator Scheduling Problem

Yıl 2020, Cilt: 4 Sayı: 1, 1 - 11, 30.06.2020

Elifcan Göçmen Onur Derse

Öz

Global sector prompts the construction firms to give a priority to time and cost factors. Thus, scheduling of the jobs is focal important to achieve cost and time objectives. Scheduling problems have gained a great importance in recent years in the construction sector. We have examined a single machine scheduling problem for an excavator used in the construction sector. There are some jobs in which each job has a normal processing time, a due date, earliness penalty and tardiness penalty. This paper presents a meta-heuristic optimization algorithm named Tabu Search (TS) to minimize the total cost and provides how it can be used to solve a wide variety of single machine scheduling problems. Computational results demonstrates that the proposed approach is a good tool for these problems.

Anahtar Kelimeler

Tabu search, single machine scheduling problem, excavator, construction sector

A Tabu Search Algorithm for an Excavator Scheduling Problem

Öz

Global sector prompts the construction firms to give a priority to time and cost factors. Thus, scheduling of the jobs is focal important to achieve cost and time objectives. Scheduling problems have gained a great importance in recent years in the construction sector. We have examined a single machine scheduling problem for an excavator used in the construction sector. There are some jobs in which each job has a normal processing time, a due date, earliness penalty and tardiness penalty. This paper presents a meta-heuristic optimization algorithm named Tabu Search (TS) to minimize the total cost and provides how it can be used to solve a wide variety of single machine scheduling problems. Computational results demonstrates that the proposed approach is a good tool for these problems.

Anahtar Kelimeler

Tabu search, single machine scheduling problem, excavator, construction sector

Kaynakça

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