Results 31 to 40 of about 1,756,488 (218)
On the Impact of Multiobjective Scalarizing Functions [PDF]
, 2014 Recently, there has been a renewed interest in decomposition-based approaches for evolutionary multiobjective optimization. However, the impact of the choice of the underlying scalarizing function(s) is still far from being well understood. In this paper,
E. Zitzler +6 more
core +3 more sources
Hypervolume indicator and dominance reward based multi-objective Monte-Carlo Tree Search [PDF]
Machine Learning, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weijia Wang, M. Sebag
semanticscholar +3 more sources
Mathematics, 2021 Buildings consume a considerable amount of electrical energy, the Heating, Ventilation, and Air Conditioning (HVAC) system being the most demanding. Saving energy and maintaining comfort still challenge scientists as they conflict.
Alberto Garces-Jimenez +3 more
doaj +1 more source
Proposal and Comparative Study of Evolutionary Algorithms for Optimum Design of a Gear System [PDF]
, 2019 This paper proposes a novel metaheuristic framework using a Differential Evolution (DE) algorithm with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II).
Frutos, Mariano +3 more
core +1 more source
Maximising hypervolume and minimising ϵ-indicators using Bayesian optimisation over sets [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021 Bayesian optimisation methods have been widely used to solve problems with computationally expensive objective functions. In the multi-objective case, these methods have been successfully applied to maximise the expected hypervolume improvement of individual solutions.
Tinkle Chugh, Manuel López-Ibáñez
openaire +1 more source
IEEE Access, 2023 Single objective constant PQ load models were extensively considered for site and size of distributed generation (DG) and shunt capacitor (SC) allocation. Which may lead to single non-dominated solution of unpredictable and misleading results about their
Aamir Ali +5 more
doaj +1 more source
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning [PDF]
, 2013 Parameter tuning is recognized today as a crucial ingredient when tackling an optimization problem. Several meta-optimization methods have been proposed to find the best parameter set for a given optimization algorithm and (set of) problem instances ...
Dréo, Johann +4 more
core +3 more sources
Engineering Science and Technology, an International Journal, 2022 Multi-objective capacitated multiple allocation hub location problem (MOCMAHLP) is a variation of classic hub location problem, which deals with network design, considering both the number and the location of the hubs and the connections between hubs and
İbrahim Demir +2 more
doaj +1 more source
An evolutionary decomposition-based multi-objective feature selection for multi-label classification [PDF]
PeerJ Computer Science, 2020 Data classification is a fundamental task in data mining. Within this field, the classification of multi-labeled data has been seriously considered in recent years. In such problems, each data entity can simultaneously belong to several categories. Multi-
Azam Asilian Bidgoli +2 more
doaj +2 more sources
Pareto optimality in multilayer network growth [PDF]
, 2018 We model the formation of multi-layer transportation networks as a multi-objective optimization process, where service providers compete for passengers, and the creation of routes is determined by a multi-objective cost function encoding a trade-off ...
A. Cook +13 more
core +3 more sources