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Using iterated local search for solving the flow‐shop problem: Parallelization, parametrization, and randomization issues
Work
Year: 2013
Type: article
Abstract: Iterated local search (ILS) is a powerful framework for developing efficient algorithms for the permutation flow‐shop problem (PFSP). These algorithms are relatively simple to implement and use very ... more
Source: International Transactions in Operational Research
Authors Ángel A. Juan, Helena Ramalhinho, Manuel Otero-Mateo, Rachel Luo, Quim Castellà
Institutions Universitat Oberta de Catalunya, Pompeu Fabra University, Universitat Politècnica de Catalunya
Cites: 56
Cited by: 72
Related to: 10
FWCI: 14.39
Citation percentile (by year/subfield): 96
Topic: Scheduling and Optimization Algorithms
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Sustainable Development Goal Responsible consumption and production
Open Access status: green