Determining feasible operating schedules for a job shop scheduling problem based on bio-soft computing

Ikno Kim; Junzo Watada; Don Jyh Fu Jeng

doi:10.1109/FUZZY.2009.5277148

Determining feasible operating schedules for a job shop scheduling problem based on bio-soft computing

Ikno Kim, Junzo Watada, Don Jyh Fu Jeng

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Meta-heuristic methods, which are often used in order to deal with job shop scheduling problems, are also often applied to combinatorial optimization problems. On another front, bio-soft computing is a new way of computing associated with DNA molecules. It is a new massively parallel computation, compared to micro-soft computing. In this paper, a novel way of determining feasible operating schedules is proposed for a job shop scheduling problem, paying particular attention to machine sequences. This new study shows how the goal of deriving reliable solutions using bio-soft computing can be achieved, for more reliable solutions based on this new bio-soft computing approach. A sample of various types of job shop scheduling problems is selected and its feasible operating schedules are determined using the strengths of our proposed method.

Original language	English
Title of host publication	IEEE International Conference on Fuzzy Systems
Pages	1426-1431
Number of pages	6
DOIs	https://doi.org/10.1109/FUZZY.2009.5277148
Publication status	Published - 2009
Event	2009 IEEE International Conference on Fuzzy Systems - Jeju Island Duration: 2009 Aug 20 → 2009 Aug 24

Other

Other	2009 IEEE International Conference on Fuzzy Systems
City	Jeju Island
Period	09/8/20 → 09/8/24

ASJC Scopus subject areas

Software
Artificial Intelligence
Applied Mathematics
Theoretical Computer Science

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title = "Determining feasible operating schedules for a job shop scheduling problem based on bio-soft computing",

abstract = "Meta-heuristic methods, which are often used in order to deal with job shop scheduling problems, are also often applied to combinatorial optimization problems. On another front, bio-soft computing is a new way of computing associated with DNA molecules. It is a new massively parallel computation, compared to micro-soft computing. In this paper, a novel way of determining feasible operating schedules is proposed for a job shop scheduling problem, paying particular attention to machine sequences. This new study shows how the goal of deriving reliable solutions using bio-soft computing can be achieved, for more reliable solutions based on this new bio-soft computing approach. A sample of various types of job shop scheduling problems is selected and its feasible operating schedules are determined using the strengths of our proposed method.",

author = "Ikno Kim and Junzo Watada and Jeng, {Don Jyh Fu}",

year = "2009",

doi = "10.1109/FUZZY.2009.5277148",

language = "English",

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note = "2009 IEEE International Conference on Fuzzy Systems ; Conference date: 20-08-2009 Through 24-08-2009",

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AU - Watada, Junzo

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AB - Meta-heuristic methods, which are often used in order to deal with job shop scheduling problems, are also often applied to combinatorial optimization problems. On another front, bio-soft computing is a new way of computing associated with DNA molecules. It is a new massively parallel computation, compared to micro-soft computing. In this paper, a novel way of determining feasible operating schedules is proposed for a job shop scheduling problem, paying particular attention to machine sequences. This new study shows how the goal of deriving reliable solutions using bio-soft computing can be achieved, for more reliable solutions based on this new bio-soft computing approach. A sample of various types of job shop scheduling problems is selected and its feasible operating schedules are determined using the strengths of our proposed method.

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