Results 21 to 30 of about 1,756,488 (218)
Mathematical and Computational Applications, 2023 Multi-objective reliability-based design optimization (MORBDO) is an efficient tool for generating reliable Pareto-optimal (PO) solutions. However, generating such PO solutions requires many function evaluations for reliability analysis, thereby ...
Raktim Biswas, Deepak Sharma
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Multiplicative Approximations, Optimal Hypervolume Distributions, and the Choice of the Reference Point [PDF]
, 2013 Many optimization problems arising in applications have to consider several objective functions at the same time. Evolutionary algorithms seem to be a very natural choice for dealing with multi-objective problems as the population of such an algorithm ...
Friedrich, Tobias +2 more
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IEEE Access, 2018 One of the main disadvantages of evolutionary multi-objective algorithms (EMOAs) based on hypervolume is the computational cost of the hypervolume computation.
Adriana Menchaca-Mendez +2 more
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Directed Multiobjective Optimization Based on the Weighted Hypervolume Indicator [PDF]
Journal of Multi-Criteria Decision Analysis, 2013 ABSTRACTRecently, there has been a large interest in set‐based evolutionary algorithms for multi objective optimization. They are based on the definition of indicators that characterize the quality of the current population while being compliant with the concept of Pareto‐optimality.
D. Brockhoff +3 more
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Algorithms, 2022 Deterioration of the searchability of Pareto dominance-based, many-objective evolutionary optimization algorithms is a well-known problem. Alternative solutions, such as scalarization-based and indicator-based approaches, have been proposed in the ...
Jean Ruppert +2 more
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A Study of Archiving Strategies in Multi-Objective PSO for Molecular Docking [PDF]
, 2016 Molecular docking is a complex optimization problem aimed at predicting the position of a ligand molecule in the active site of a receptor with the lowest binding energy. This problem can be formulated as a bi-objective optimization problem by minimizing
A Sandoval-Perez +15 more
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, 2023 The problem of approximating the Pareto front of a multiobjective optimization problem can be reformulated as the problem of finding a set that maximizes the hypervolume indicator. This paper establishes the analytical expression of the Hessian matrix of the mapping from a (fixed size) collection of $n$ points in the $d$-dimensional decision space (or $
André Deutz, Michael Emmerich, Hao Wang
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Tri-objective parallel machine with job splitting and sequence dependent setup times using differential evolution and particle swarm optimization [PDF]
International Journal of Industrial Engineering and ManagementParallel machines scheduling problems (PMSPs) exist in the industry since most manufacturing operations aim to produce lots of similar products in a defined time period. Some incoming jobs have different sizes and due dates; plus, the production capacity,
Warisa Wisittipanich +1 more
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Towards efficient multiobjective optimization: multiobjective statistical criterions [PDF]
, 2012 The use of Surrogate Based Optimization (SBO) is widely spread in engineering design to reduce the number of computational expensive simulations. However, "real-world" problems often consist of multiple, conflicting objectives leading to a set of ...
Couckuyt, Ivo +2 more
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IEEE Open Journal of the Communications Society, 2022 Optimum controller placement in the presence of several conflicting objectives has received significant attention in the Software-Defined Wide Area Network (SD-WAN) deployment.
Oladipupo Adekoya, Adel Aneiba
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