Partitioning-based clustering for Web document categorization
Decision Support Systems - Special issue on WITS '97
Data mining: concepts and techniques
Data mining: concepts and techniques
Data Mining: Introductory and Advanced Topics
Data Mining: Introductory and Advanced Topics
A Data-Clustering Algorithm on Distributed Memory Multiprocessors
Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD
A novel hybrid tabu search approach to container loading
Computers and Operations Research
Three-dimensional container loading models with cargo stability and load bearing constraints
Computers and Operations Research
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The proposed research focuses on multiple-container packing problems with considerations of multiple constraints. The space utilization, stability, load bearing, and loading sequence of objects are also considered in order to make results more practicable. Clustering technology and genetic algorithm are combined to solve the proposed problems. At the beginning, clustering algorithm is applied to classify data objects into different groups with varied characteristics, such as dimension of objects, unloading sequence of objects, and capacity of containers. Then, genetic algorithm combines with heuristic rules is used to pack data objects into containers respectively. The stable packing, space utilization, unhindered unloading, and load bear limitation are the major considerations in this stage. A computer system based on the proposed algorithm was developed. Thousands of cases were simulated and analyzed to evaluate the performance of the proposed research and prove the applicability in real world.