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Cuckoo Search Algorithm for Solving Real Industrial Multi-Objective Scheduling Problems

Cuckoo Search Algorithm for Solving Real Industrial Multi-Objective Scheduling Problems
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Author(s): Mariappan Kadarkarainadar Marichelvam (Mepco Schlenk Enginering College, India) and Mariappan Geetha (Kamaraj College of Engineering and Technology, India)
Copyright: 2019
Pages: 15
Source title: Advanced Methodologies and Technologies in Engineering and Environmental Science
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7359-3.ch027

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Abstract

A multistage hybrid flow shop scheduling problem is considered in this chapter with the objective of minimizing the makespan and mean flow time. Since the problem is NP-hard in nature, many heuristics and meta-heuristics were developed by the researchers. Cuckoo search algorithm is one of the recently developed meta-heuristic algorithms inspired by the social behavior of cuckoos. The cuckoo search algorithm is presented in this chapter to solve the hybrid flow shop scheduling problems. To illustrate the proposed algorithm, data sets from a steel furniture manufacturing company are used. The computational results show that the proposed algorithm is better than many other algorithms.

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