Quantum annealing combined with weighted objectives and problem decomposition finds competitive non-dominated solutions to next-release and feature-selection problems faster than NSGA-II in most tested cases.
Optimization and Engineering 1, 171–188 (2000)
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A Quantum Annealing Approach for Solving Optimal Feature Selection and Next Release Problems
Quantum annealing combined with weighted objectives and problem decomposition finds competitive non-dominated solutions to next-release and feature-selection problems faster than NSGA-II in most tested cases.