Optimal Solution of Scheduling Problems Using Lagrange Multipliers: Part I

Article Properties
Abstract
Cite
Fisher, Marshall L. “Optimal Solution of Scheduling Problems Using Lagrange Multipliers: Part I”. Operations Research, vol. 21, no. 5, 1973, pp. 1114-27, https://doi.org/10.1287/opre.21.5.1114.
Fisher, M. L. (1973). Optimal Solution of Scheduling Problems Using Lagrange Multipliers: Part I. Operations Research, 21(5), 1114-1127. https://doi.org/10.1287/opre.21.5.1114
Fisher ML. Optimal Solution of Scheduling Problems Using Lagrange Multipliers: Part I. Operations Research. 1973;21(5):1114-27.
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Citations
Title Journal Journal Categories Citations Publication Date
Survey on Lagrangian relaxation for MILP: importance, challenges, historical review, recent advancements, and opportunities Annals of Operations Research
  • Technology: Manufactures: Production management. Operations management
  • Science: Mathematics
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
2 2023
Digital twin-enabled adaptive scheduling strategy based on deep reinforcement learning Science China Technological Sciences
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Chemistry
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Engineering (General). Civil engineering (General)
2023
Role of Photosynthesis Processes in the Dynamics of the Plant Community

Mathematics
  • Science: Mathematics
  • Science: Mathematics
2023
EC-MASS: Towards an efficient edge computing-based multi-video scheduling system Computer Communications
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2022
A Lagrangian decomposition scheme for choice-based optimization Computers & Operations Research
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Manufactures: Production management. Operations management
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2022
Citations Analysis
Category Category Repetition
Technology: Engineering (General). Civil engineering (General)51
Technology: Manufactures: Production management. Operations management51
Technology: Technology (General): Industrial engineering. Management engineering34
Science: Mathematics16
Technology: Technology (General): Industrial engineering. Management engineering: Information technology15
Science: Mathematics: Instruments and machines: Electronic computers. Computer science15
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics14
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks13
Technology: Manufactures11
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods9
Social Sciences: Commerce: Business: Personnel management. Employment management6
Social Sciences: Economic theory. Demography: Economics as a science6
Technology: Mechanical engineering and machinery6
Social Sciences: Commerce: Business5
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software5
Social Sciences: Industries. Land use. Labor: Management. Industrial management4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware4
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication3
Science: Science (General): Cybernetics: Information theory3
Science: Chemistry2
Technology2
Science: Mathematics: Instruments and machines1
Technology: Chemical technology: Chemical engineering1
Technology: Electrical engineering. Electronics. Nuclear engineering: Production of electric energy or power. Powerplants. Central stations1
Technology: Engineering (General). Civil engineering (General): Transportation engineering1
Social Sciences: Transportation and communications1
Political science: Political institutions and public administration (General)1
Technology: Mining engineering. Metallurgy1
Science: Science (General)1
The category Technology: Engineering (General). Civil engineering (General) 51 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Constructive Duality in Integer Programming and was published in 1974. The most recent citation comes from a 2023 study titled Survey on Lagrangian relaxation for MILP: importance, challenges, historical review, recent advancements, and opportunities. This article reached its peak citation in 1994, with 7 citations. It has been cited in 63 different journals, 7% of which are open access. Among related journals, the European Journal of Operational Research cited this research the most, with 15 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year