The solution isn't to abandon microtransit, but to evolve its role from a standalone service to a high-frequency feeder for ...
Abstract: This paper presents a pseudo-spectral method for Dynamic Optimization Problems (DOPs) that allows for tight polynomial bounds to be achieved via flexible sub-intervals. The proposed method ...
NVIDIA's GPU-accelerated cuOpt engine discovers new solutions for four MIPLIB benchmark problems, outperforming CPU solvers with 22% lower objective gaps. NVIDIA's cuOpt optimization engine has found ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
1 Faculty of Technology and Electrical Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. 2 Academy of Language Studies, Universiti Teknologi MARA Kampus Seremban, Negeri Sembilan, ...
Abstract: dynamic multiobjective optimization (DMO) problems are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...
This work proposes a framework for global optimization, showing that global optimization is equivalent to optimal strategy formation in a two-armed decision problem with known distributions, based on ...
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