High-Dencity Traffic Operation by Combining Signal•Train•Operation

Evolutionary Algorithms for Optimizing Traffic Signal Operation

Maintaining efficient transportation systems has become a key goal for government-based transportation agencies in this age of serious energy shortages, rising costs and competing recipients of public funds. The emphasis has shifted to optimizing traffic movement on the existing surface street network rather than to provide more freeways. As described in Schnabel and Lohse (1997), the network c...

Combining Classifier Guided by Semi-Supervision

The article suggests an algorithm for regular classifier ensemble methodology. The proposed methodology is based on possibilistic aggregation to classify samples. The argued method optimizes an objective function that combines environment recognition, multi-criteria aggregation term and a learning term. The optimization aims at learning backgrounds as solid clusters in subspaces of the high...

Combining Classifier Guided by Semi-Supervision

The article suggests an algorithm for regular classifier ensemble methodology. The proposed methodology is based on possibilistic aggregation to classify samples. The argued method optimizes an objective function that combines environment recognition, multi-criteria aggregation term and a learning term. The optimization aims at learning backgrounds as solid clusters in subspaces of the high...

Genetic Algorithm Combining Operation Tree (GAOT) for concrete performance

Genetic Algorithm Combining Operation Tree (GAOT) was constructed to estimate the slump flow of high-performance concrete (HPC) by using seven concrete ingredients. HPC is a highly complex material; because modeling its behavior is extremely difficult, robust optimization techniques are required. GAOT is a type of evolutionary algorithm that simultaneously optimizes functions and their associat...

Combining Routing and ARP to a Single Lookup Operation