Approximation quality of the hypervolume indicator

DOI10.1016/j.artint.2012.09.005zbMath1270.68238OpenAlexW2007833876MaRDI QIDQ360122

Karl Bringmann, Tobias Friedrich

Publication date: 26 August 2013

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: http://www.sciencedirect.com/science/article/pii/S0004370212001178

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Learning and adaptive systems in artificial intelligence (68T05) Approximation algorithms (68W25)

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A weighted-sum method for solving the bi-objective traveling thief problem ⋮ Analyzing randomized search heuristics via stochastic domination ⋮ Bi-goal evolution for many-objective optimization problems ⋮ Population size matters: rigorous runtime results for maximizing the hypervolume indicator ⋮ Speeding up many-objective optimization by Monte Carlo approximations ⋮ Performance indicators in multiobjective optimization ⋮ Approximate non-dominated sorting for evolutionary many-objective optimization ⋮ An approach for bi-objective maintenance scheduling on a networked system with limited resources

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