Results 11 to 20 of about 776,504 (298)
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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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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source
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
core +1 more source
Multi-objective particle swarm optimization algorithm for multi-step electric load forecasting [PDF]
, 2020 As energy saving becomes more and more popular, electric load forecasting has played a more and more crucial role in power management systems in the last few years.
Chen, Yanhua +3 more
core +1 more source
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
doaj +1 more source
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
core +4 more sources
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
doaj +1 more source
Integrated Energy Multi-Objective Operation Optimization [PDF]
E3S Web of Conferences, 2020 The Integrated Energy System (IES) offers a new approach to the energy dilemma. It introduces demand-side response into the Regional Integrated Energy System (RIES) and proposes an operational optimization model considering Integrated Demand Side ...
Liu Zhao +7 more
doaj +1 more source