An analysis on convergence of data-driven approach to ship lock scheduling

DOI10.1016/j.matcom.2013.03.005zbMath1490.90139OpenAlexW2012278891MaRDI QIDQ2227339

Yanyan Li

Publication date: 15 February 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2013.03.005

zbMATH Keywords

convergenceant colony optimizationdata-drivenship lock scheduling

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Lockage scheduling of three gorges-gezhouba dams by hybrid of chaotic particle swarm optimization and heuristic-adjusted strategies

Cites Work

• Global exponential stability of recurrent neural networks with time-varying delays in the presence of strong external stimuli
• An agent-based approach to the two-dimensional guillotine bin packing problem
• A theoretic and practical framework for scheduling in a stochastic environment
• On a Data-Driven Method for Staffing Large Call Centers
• Complete stability of cellular neural networks with time-varying delays
• Multiperiodicity and Exponential Attractivity Evoked by Periodic External Inputs in Delayed Cellular Neural Networks
• Unnamed Item

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