A Tabu Search Algorithm for an Excavator Scheduling Problem

Year 2020, Volume: 4 Issue: 1, 1 - 11, 30.06.2020

Elifcan Göçmen Onur Derse

Abstract

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.

Keywords

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

A Tabu Search Algorithm for an Excavator Scheduling Problem

Abstract

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.

Keywords

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

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