Evaluation of the number of rehandles in container yards
Computers and Industrial Engineering - Special issue: new advances in analysis of manufacturing systems
A New Binary Description of the Blocks Relocation Problem and Benefits in a Look Ahead Heuristic
EvoCOP '09 Proceedings of the 9th European Conference on Evolutionary Computation in Combinatorial Optimization
A Corridor Method-Based Algorithm for the Pre-marshalling Problem
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
Planning with Uncertainty in Action Outcomes as Linear Programming Problem
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Modeling and evaluation of harbor crane work
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Comparing handling and space costs for various types of stacking methods
Computers and Industrial Engineering
Container handling using multi-agent architecture
International Journal of Intelligent Information and Database Systems
An investigation of IDA* algorithms for the container relocation problem
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I
Generating a rehandling-free intra-block remarshaling plan for an automated container yard
Journal of Intelligent Manufacturing
A tree search procedure for the container relocation problem
Computers and Operations Research
Integrated intelligent techniques for remarshaling and berthing in maritime terminals
Advanced Engineering Informatics
On planning in multi-agent environment: algorithm of scene reasoning from incomplete information
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
Intelligent planning for allocating containers in maritime terminals
Expert Systems with Applications: An International Journal
A decision support system for managing combinatorial problems in container terminals
Knowledge-Based Systems
A filter and fan based algorithm for slab rehandling problem in MPA of steel industry
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
A Survey on Container Processing in Railway Yards
Transportation Science
Multi-crane scheduling in steel coil warehouse
Expert Systems with Applications: An International Journal
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One of the most important objectives of the storage and pickup operations in block stacking systems is to minimize the number of relocations during the pickup operation. This study suggests two methods for determining the locations of relocated blocks. First, a branch-and-bound (B&B) algorithm is suggested. Next, a decision rule is proposed by using an estimator for an expected number of additional relocations for a stack. The performance of the decision rule was compared with that of the B&B algorithm.