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Abstract: The challenge of dynamic multimodal optimization problems (DMMOPs) lies in tracking multiple global or locally acceptable optimal solutions in environments that change over time. Typically, ...

Abstract: Plenty of decision variable grouping-based algorithms have shown satisfactory performance in solving high-dimensional optimization problems. However, most of them are tailored for ...

ABSTRACT: In this paper, we consider a more general bi-level optimization problem, where the inner objective function is consisted of three convex functions, involving a smooth and two non-smooth ...

Heidi S. Enger ’27, an Associate Editorial Editor, is a Social Studies Concentrator in Eliot House. She’s enrolled in Ec10b this semester (don’t ask). Harvard students have to stop treating life like ...

When combined with Qiskit software tools, the 156-qubit R2 Heron quantum processor can perform 5,000 two-qubit gate operations — double the previous best — meaning it's ready for complex quantum ...

I’ve kept my gaming rig’s specs above the recommended requirements for most new big-name game releases over the last couple of years and it remains that way despite all the hardware that’s hit the ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Yifan Guo, Zhongqiang Ren, Chen Wang. "iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), ...