Results 11 to 20 of about 1,756,488 (218)
A Test Case Prioritization Genetic Algorithm Guided by the Hypervolume Indicator
IEEE Transactions on Software Engineering, 2020 Regression testing is performed during maintenance activities to assess whether the unchanged parts of a software behave as intended. To reduce its cost, test case prioritization techniques can be used to schedule the execution of the available test ...
Dario Di Nucci +3 more
semanticscholar +4 more sources
A Box Decomposition Algorithm to Compute the Hypervolume Indicator [PDF]
Computers & Operations Research, 2015 We propose a new approach to the computation of the hypervolume indicator, based on partitioning the dominated region into a set of axis-parallel hyperrectangles or boxes. We present a nonincremental algorithm and an incremental algorithm, which allows insertions of points, whose time complexities are $O(n^{\lfloor \frac{p-1}{2} \rfloor+1})$ and $O(n^{\
R. Lacour, K. Klamroth, C. Fonseca
semanticscholar +5 more sources
An analysis of the Hypervolume Sharpe-Ratio Indicator
European Journal of Operational Research, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreia P. Guerreiro, C. Fonseca
semanticscholar +2 more sources
Approximation quality of the hypervolume indicator
Artificial Intelligence, 2013 AbstractIn order to allow a comparison of (otherwise incomparable) sets, many evolutionary multi-objective optimizers use indicator functions to guide the search and to evaluate the performance of search algorithms. The most widely used indicator is the hypervolume indicator.
K. Bringmann, T. Friedrich
semanticscholar +4 more sources
Control of perishable inventory system with uncertain perishability process using neural networks and robust multicriteria optimization [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2022 The inventory systems are highly variable and uncertain due to market demand instability, increased environmental impact, and perishability processes.
Ewelina Chołodowicz +1 more
doaj +1 more source
Water, 2021 This article proposes a novel methodology to determine the optimal number of pressure sensors for the real-time monitoring of water distribution networks based on a quality hypervolume indicator.
Bruno Ferreira, N. Carriço, D. Covas
semanticscholar +1 more source
Optimization of Chemotherapy Using Hybrid Optimal Control and Swarm Intelligence
IEEE Access, 2023 This study aimed to minimize the tumor cell population using minimal medicine for chemotherapy treatment, while maintaining the effector-immune cell population at a healthy threshold.
Prakas Gopal Samy +2 more
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On the Complexity of Computing the Hypervolume Indicator [PDF]
IEEE Transactions on Evolutionary Computation, 2009 The goal of multiobjective optimization is to find a set of best compromise solutions for typically conflicting objectives. Due to the complex nature of most real-life problems, only an approximation to such an optimal set can be obtained within reasonable (computing) time.
Beume, Nicola +4 more
openaire +2 more sources
Multi-Objective Optimization Using Evolutionary Cuckoo Search Algorithm for Evacuation Planning
Geomatics, 2022 Proper emergency evacuation planning is a key to ensuring the safety and efficiency of resources allocation in disaster events. An efficient evacuation plan can save human lives and avoid other effects of disasters. To develop effective evacuation plans,
Tomé Sicuaio +4 more
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Vetor, 2023 A Multiobjective Optimization Problem (MOP) requires the optimization of several objective functions simultaneously, usually in conflict with each other.
André O. Martins +3 more
doaj +1 more source