Results 11 to 20 of about 2,015 (249)
Finding algorithm of optimal subset structure based on the Pareto layers in the knapsack problem
Журнал Белорусского государственного университета: Математика, информатика, 2020 An algorithm is developed for finding the structure of the optimal subset in the knapsack problem based on the proposed multicriteria optimization model.
Sergey V. Chebakov +1 more
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Characterization of Pareto dominance [PDF]
Operations Research Letters, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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IEEE Access, 2019 Many-objective optimization problems (MaOPs) present a huge challenge to the traditional Pareto-based multi-objective algorithms because the increase of the objectives results in the low-efficiency of the Pareto dominance in distinguishing the ...
Junhua Liu +4 more
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Mathematics, 2023 In real-world applications, many problems involve two or more conflicting objectives that need to be optimized at the same time. These are called multi-objective optimization problems (MOPs).
Nour Elhouda Chalabi +5 more
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An Adaptative Reference Vector Based Evolutionary Algorithm for Many-Objective Optimization
IEEE Access, 2019 Recent studies have shown difficulties in balancing convergence and diversity for many-objective optimization problems with various types of Pareto fronts.
Junhua Li, Guoyu Chen, Ming Li, Hao Chen
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IEEE Access, 2020 A new hybrid multi-objective evolutionary algorithm is developed and deployed in the present work for the optimal allocation of Electric Vehicle (EV) charging stations.
Sanchari Deb +4 more
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Sorted Pareto Dominance: An Extension to Pareto Dominance and Its Application in Soft Constraints
2012 IEEE 24th International Conference on Tools with Artificial Intelligence, 2012 The Pareto dominance relation compares decisions with each other over multiple aspects, and any decision that is not dominated by another is called Pareto optimal, which is a desirable property in decision making. However, the Pareto dominance relation is not very discerning, and often leads to a large number of non-dominated or Pareto optimal ...
O'Mahony, Conor, Wilson, Nic
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Pareto Dominance-Based Algorithms With Ranking Methods for Many-Objective Optimization
IEEE Access, 2017 In Pareto dominance-based multi-objective evolutionary algorithms (PDMOEAs), Pareto dominance fails to provide the essential selection pressure required to drive the search toward convergence in many-objective optimization problems (MaOPs). Recently, the
Vikas Palakonda, Rammohan Mallipeddi
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Universal Pareto dominance and welfare for plausible utility functions [PDF]
Journal of Mathematical Economics, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haris Aziz, Florian Brandl, Felix Brandt
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On Optimal Antijamming Strategies in Sensor Networks
International Journal of Distributed Sensor Networks, 2012 Physical layer radio jamming is a serious security threat to a wireless sensor network since the network relies on open wireless radio channels. A radio jammer is typically strategic and chooses its jamming strategy in response to the possible defense ...
Yanmin Zhu, Yuan Jiang
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