Energy efficient multi-objective scheduling of tasks with interval type-2 fuzzy timing constraints in an Industry 4.0 ecosystem-Reference-Cited by-同舟云学术

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Energy efficient multi-objective scheduling of tasks with interval type-2 fuzzy timing constraints in an Industry 4.0 ecosystem

Published:2020-01 Issue: Volume:87 Page:103257
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Shukla Amit K.,Nath Rahul,Muhuri Pranab K.,Lohani Q.M. Danish

Funder

South Asian University

Department of Science and Technology, Government of India

CSIR, India

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference85 articles.

1. Multi-objective optimisation of dynamic scheduling in robotic flexible assembly cells via fuzzy-based Taguchi approach;Abd;Comput. Ind. Eng.,2016

2. Energy-efficient algorithms;Albers;Commun. ACM,2010

3. A comparative study of system-level energy management methods for Fault-Tolerant hard real-time systems;Aminzadeh;Comput., IEEE Trans.,2011

4. Energy-efficient through-life smart design, manufacturing and operation of ships in an industry 4.0 environment;Ang;Energies,2017

5. A scalable parallel cooperative coevolutionary PSO algorithm for multi-objective optimization;Atashpendar;J. Parallel Distrib. Comput.,2018

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