Results 11 to 20 of about 845,538 (282)
Pymoo: Multi-Objective Optimization in Python
IEEE Access, 2020 Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these research fields, more optimization related frameworks ...
Julian Blank, Kalyanmoy Deb
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Redesigning the jMetal Multi-Objective Optimization Framework [PDF]
, 2015 jMetal, an open source, Java-based framework for multi-objective optimization with metaheuristics, has become a valuable tool for many researches in the area as well as for some industrial partners in the last ten years.
Durillo, Juan J. +2 more
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A Simple Proposal for Including Designer Preferences in Multi-Objective Optimization Problems
Mathematics, 2021 Including designer preferences in every phase of the resolution of a multi-objective optimization problem is a fundamental issue to achieve a good quality in the final solution.
Xavier Blasco +4 more
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Algorithms, 2023 For multimodal multi-objective optimization problems (MMOPs), there are multiple equivalent Pareto optimal solutions in the decision space that are corresponding to the same objective value.
Jiajia Fan +3 more
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IEEE Access, 2019 This paper presents a tri-level many-objective optimization (TLMaO) approach to provide a final solution for many-objective optimization problems (MaOPs).
J. H. Zheng +3 more
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A constrained multi-objective surrogate-based optimization algorithm [PDF]
, 2014 Surrogate models or metamodels are widely used in the realm of engineering for design optimization to minimize the number of computationally expensive simulations.
Couckuyt, Ivo +3 more
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Friction stir welding parameter optimization using novel multi objective dragonfly algorithm
International Journal of Lightweight Materials and Manufacture, 2021 Friction stir welding (FSW) is a type of welding in which the joint is made in the solid phase using the heat generated through friction. FSW is used to produce welds with superior strength with low distortion. At present, the FSW technique is enormously
P. Pitchipoo +3 more
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Hybrid behavioural-based multi-objective space trajectory optimization [PDF]
, 2009 In this chapter we present a hybridization of a stochastic based search approach for multi-objective optimization with a deterministic domain decomposition of the solution space.
Vasile, Massimiliano
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Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization [PDF]
, 2006 Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multi-modal optimization is proposed to formalize these data mining problems, and addressed through Evolutionary Computation (EC)
A. Hyvarinen +14 more
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MOBOpt — multi-objective Bayesian optimization
SoftwareX, 2020 This work presents a new software, programmed as a Python class, that implements a multi-objective Bayesian optimization algorithm. The proposed method is able to calculate the Pareto front approximation of optimization problems with fewer objective ...
Paulo Paneque Galuzio +3 more
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