Abstract: Small to medium sized transportation and logistics companies are usually constrained by limited computing and IT professional resources on implementing an efficient parallel metaheuristic ...

Abstract: Selection of dispatching modes for a transit system is a very important aspect of the schedule problem. This paper aims to optimize and monitor the scheduling and dispatching of public ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...

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In the table, the row index represents the sequence number of the operation, the column index represents the sequence number of the machine, and the numerical value represents the corresponding ...

Energy storage technology can effectively solve the problems caused by large-scale grid connection of renewable energy with volatility and uncertainty. Due to the high cost of the energy storage ...

Determining the optimal well location is a challenging task because the effects of geological and engineering variables on reservoir performance are often highly nonlinear and multimodal. The ...

Early-Onset Colorectal Cancer Survival Differences and Potential Geographic Determinants Among Men and Women in Utah Artificial intelligence in oncology is no longer hypothetical, and its U.S. Food ...