Neural networks and operations research: An overview

DOI10.1016/0305-0548(92)90043-5zbMath0825.90766OpenAlexW2048463969MaRDI QIDQ1200814

James P. Ignizio, Laura I. Burke

Publication date: 16 January 1993

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0305-0548(92)90043-5

Mathematics Subject Classification ID

Programming involving graphs or networks (90C35) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (15)

Simulation metamodelling with neural networks: An experimental investigation ⋮ Metaheuristics: A bibliography ⋮ Predicting solutions of large-scale optimization problems via machine learning: a case study in blood supply chain management ⋮ A neural-tabu search heuristic for the real time vehicle routing problem ⋮ A self-organizing neural network approach for the single AGV routing problem ⋮ A neural network approach to multiobjective and multilevel programming problems ⋮ Neural network based modelling of environmental variables: A systematic approach ⋮ Visualization techniques for decision problems with multiple criteria ⋮ Comparison of neural and heuristic methods for a timetabling problem ⋮ A neural network model for scheduling problems ⋮ Using neural networks for trauma outcome evaluation ⋮ Interactive multiple objective programming using Tchebycheff programs and artificial neural networks ⋮ A review of Hopfield neural networks for solving mathematical programming problems ⋮ Some personal views on the current state and the future of locational analysis ⋮ Modeling the relationship between corporate strategy and wealth creation using neural networks

Cites Work

• Unnamed Item
• ``Neural computation of decisions in optimization problems
• Solving a combinatorial problem via self-organizing process: An application of the Kohonen algorithm to the traveling salesman problem
• Neural network methods in combinatorial optimization
• Adaptive pattern classification and universal recoding. I: Parallel development and coding of neural feature detectors
• Neural Networks for Selective Vehicle Routing Heuristics
• Neural networks and physical systems with emergent collective computational abilities.
• Learning representations by back-propagating errors

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