Robotics & Machine Learning Daily News2024,Issue(Mar.13) :25-26.

Universidade Federal de Sao Carlos Researchers Have Provided New Study Findings on Intelligent Systems (Scheduling choice method for flexible job shop problems using a fuzzy decision maker)

Robotics & Machine Learning Daily News2024,Issue(Mar.13) :25-26.

Universidade Federal de Sao Carlos Researchers Have Provided New Study Findings on Intelligent Systems (Scheduling choice method for flexible job shop problems using a fuzzy decision maker)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Researchers detail new data in intelligent system s. According to news originating from the Universidade Federal de Sao Carlos by NewsRx editors, the research stated, “The Flexible Job Shop Scheduling Problem ( FJSP) emerges as a challenging extension of the classic Job Shop, presenting NPHard characteristics. In the FJSP, a set of jobs, comprising multiple operations , must be allocated to a predefined set of machines, each with its respective ex ecution times.”

Key words

Universidade Federal de Sao Carlos/Algo rithms/Fuzzy Logic/Intelligent Systems/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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