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New hybrid genetic algorithms to solve dynamic berth allocation problem.

, , и . Expert Syst. Appl., (2021)

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Anibal Peña

Ricardo Tavares

Cláudia Tavares

José Luís de Azevedo ˜doœ Campo

Anibal Valera

 

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Solving the 3D Container Ship Loading Planning Problem by Representation by Rules and Beam Search., , , , , и . ICORES, стр. 132-141. SciTePress, (2012)New hybrid genetic algorithms to solve dynamic berth allocation problem., , и . Expert Syst. Appl., (2021)Solving the 3D stowage planning problem integrated with the quay crane scheduling problem by representation by rules and genetic algorithm., , , и . Appl. Soft Comput., (2018)The impact of time windows constraints on metaheuristics implementation: a study for the Discrete and Dynamic Berth Allocation Problem., , , и . Appl. Intell., 52 (2): 1406-1434 (2022)A Scheduling Problem in the Baking Industry., , и . J. Appl. Math., (2014)Solving the 3D container ship loading planning problem by representation by rules and meta-heuristics., , , , , и . Int. J. Data Anal. Tech. Strateg., 6 (3): 228-260 (2014)Automatic Generator of Loading Rules and Its Applications on Logistics Operations.. DCAI (2), том 332 из Lecture Notes in Networks and Systems, стр. 141-150. Springer, (2021)Pareto clustering search applied for 3D container ship loading plan problem., , , и . Expert Syst. Appl., (2016)Interior point method for long-term generation scheduling of large-scale hydrothermal systems., , и . Ann. Oper. Res., 169 (1): 55-80 (2009)Correction to: The impact of time windows constraints on metaheuristics implementation: a study for the Discrete and Dynamic Berth Allocation Problem., , , и . Appl. Intell., 52 (2): 1435 (2022)