Results 11 to 20 of about 65,008 (228)
Decomposition-Based Multiobjective Optimization for Constrained Evolutionary Optimization [PDF]
, 2021 Pareto dominance-based multiobjective optimization has been successfully applied to constrained evolutionary optimization during the last two decades. However, as another famous multiobjective optimization framework, decomposition-based multiobjective ...
Li, Han-Xiong +3 more
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Multiobjective Bayesian optimization for online accelerator tuning
Physical Review Accelerators and Beams, 2021 Particle accelerators require constant tuning during operation to meet beam quality, total charge and particle energy requirements for use in a wide variety of physics, chemistry and biology experiments.
Ryan Roussel, Adi Hanuka, Auralee Edelen
doaj +1 more source
AI Magazine, 2008 Using some real‐world examples I illustrate the important role of multiobjective optimization in decision making and its interface with preference handling. I explain what optimization in the presence of multiple objectives means and discuss some of the most common methods of solving multiobjective optimization problems using transformations to single ...
Branke, Jürgen +3 more
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IEEE Access, 2022 As the working efficiency and life span of the shovel plate of a roadheader directly influence its performance, optimization of the shovel-plate parameters is crucial. For optimizing the shovel-plate parameters, the variations in the loading capacity and
Qiang Li, Songyong Liu, Mengdi Gao
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Scalarizing Functions in Bayesian Multiobjective Optimization [PDF]
, 2019 Scalarizing functions have been widely used to convert a multiobjective optimization problem into a single objective optimization problem. However, their use in solving (computationally) expensive multi- and many-objective optimization problems in ...
Chugh, Tinkle
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A Fusion Multiobjective Empire Split Algorithm
Journal of Control Science and Engineering, 2020 In the last two decades, swarm intelligence optimization algorithms have been widely studied and applied to multiobjective optimization problems. In multiobjective optimization, reproduction operations and the balance of convergence and diversity are two
Liang Liang
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Bat Algorithm for Multi-objective Optimisation [PDF]
, 2011 Engineering optimization is typically multiobjective and multidisciplinary with complex constraints, and the solution of such complex problems requires efficient optimization algorithms.
Yang, Xin-She
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Analyzing the Effect of Objective Correlation on the Efficient Set of MNK-Landscapes [PDF]
, 2011 In multiobjective combinatorial optimization, there exists two main classes of metaheuristics, based either on multiple aggregations, or on a dominance relation.
Dhaenens, Clarisse +3 more
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Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization [PDF]
, 2013 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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Set-based Multiobjective Fitness Landscapes: A Preliminary Study [PDF]
, 2011 Fitness landscape analysis aims to understand the geometry of a given optimization problem in order to design more efficient search algorithms. However, there is a very little knowledge on the landscape of multiobjective problems. In this work, following
Dhaenens, Clarisse +2 more
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