Radio spectrum is pricey. Operators drop billions at auction to lock down licensed frequency bands, and every single ...
This paper presents an approach to the solution of moving a robot manipulator with minimum cost along a specified geometric path in the presence of obstacles. The main idea is to express obstacle ...
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 ...
Supply chain partners often face a fundamental trade-off: dishonesty can provide immediate rewards, but excessive lying erodes credibility and undermines future opportunities. Prior research has ...
Abstract: Dynamic multi-objective optimization problems (DMOPs) are prevalent in many practical applications and have garnered significant attention from both industry and academia, leading to the ...
Abstract: Dynamic constrained multi-objective optimization problems (DCMOPs) present significant challenges due to the evolving nature of both objectives and constraints. These problems require ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...
1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...
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