Weighted superposition attraction algorithm for binary optimization problems
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DOI: 10.1007/s12351-018-0427-9
Abstract: Weighted superposition attraction algorithm (WSA) is a new generation population-based metaheuristic algorithm, which has been recently proposed to solve various optimization problems. Inspired by the superposition of particles principle in physics, individuals of WSA generate a… read more here.
Keywords: weighted superposition; optimization; wsa; optimization problems ... See more keywords
Decomposition-Based Approaches for a Class of Two-Stage Robust Binary Optimization Problems
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DOI: 10.1287/ijoc.2021.1061
Abstract: In this paper, we study a class of two-stage robust binary optimization problems with objective uncertainty, where recourse decisions are restricted to be mixed-binary. For these problems, we present a deterministic equivalent formulation through the… read more here.
Keywords: methodology; two stage; class; robust binary ... See more keywords
Sampling electronic structure quadratic unconstrained binary optimization problems (QUBOs) with Ocean and Mukai solvers
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DOI: 10.1371/journal.pone.0263849
Abstract: The most advanced D-Wave Advantage quantum annealer has 5000+ qubits, however, every qubit is connected to a small number of neighbors. As such, implementation of a fully-connected graph results in an order of magnitude reduction… read more here.
Keywords: electronic structure; binary optimization; quantum; quadratic unconstrained ... See more keywords