Global optimization for artificial neural networks: A tabu search application

DOI10.1016/S0377-2217(97)00292-0zbMath0991.90139OpenAlexW2001646920MaRDI QIDQ1609919

Robert E. Dorsey, John D. Johnson, Randall S. Sexton, Bahram Alidaee

Publication date: 18 August 2002

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-2217(97)00292-0

zbMATH Keywords

optimizationneural networkstabu search

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Search theory (90B40) Traffic problems in operations research (90B20)

Related Items (7)

Multilayer neural networks: an experimental evaluation of on-line training methods ⋮ Optimization of neural networks: A comparative analysis of the genetic algorithm and simulated annealing ⋮ A Parallel Ant Colony Optimization Algorithm Based on Crossover Operation ⋮ A review of Hopfield neural networks for solving mathematical programming problems ⋮ Path relinking and GRG for artificial neural networks ⋮ An empirical study of learning speed in back-propagation networks ⋮ A computational study on the performance of artificial neural networks under changing structural design and data distribution

Uses Software

• Tabu search

Cites Work

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• Learning Process in an Asymmetric Threshold Network
• Tabu Search Applied to the Quadratic Assignment Problem
• Bandwidth Packing: A Tabu Search Approach
• A GRG2-Based System for Training Neural Networks: Design and Computational Experience
• Nonlinear optimization of constrained functions using tabu search
• The Unpredictability of Standard Back Propagation Neural Networks in Classification Applications

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