Results 41 to 50 of about 8,528 (188)
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
An Improvement Study of the Decomposition-based Algorithm Global WASF-GA for Evolutionary Multiobjective Optimization [PDF]
, 2018 The convergence and the diversity of the decompositionbased evolutionary algorithm Global WASF-GA (GWASF-GA) relies on a set of weight vectors that determine the search directions for new non-dominated solutions in the objective space.
AP Wierzbicki +6 more
core +1 more source
Expected Hypervolume Improvement with Constraints [PDF]
2018 24th International Conference on Pattern Recognition (ICPR), 2018 Bayesian optimisation has become a powerful framework for global optimisation of black-box functions that are expensive to evaluate and possibly noisy. In addition to expensive evaluation of objective functions, many real-world optimisation problems deal with similarly expensive black-box constraints.
Majid Abdolshah +4 more
openaire +1 more source
Frontiers in Plant Science, 2017 According with niche theory the species are specialized in different ecological niches, being able to coexist as result of a differential use of resources.
Enrique G. de la Riva +5 more
doaj +1 more source
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
core +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
Metaheuristic approaches for optimal broadcasting design in metropolitan MANETs [PDF]
, 2007 11th International Conference on Computer Aided Systems Theory. Las Palmas de Gran Canaria, Spain, February 12-16, 2007Mobile Ad-hoc Networks (MANETs) are composed of a set of communicating devices which are able to spontaneously interconnect without any
Alba, Enrique +11 more
core +2 more sources
Scattering hypervolume of fermions in two dimensions
Physical Review A, 2022 We define the three-body scattering hypervolume $D_F$ for identical spin-polarized fermions in two dimensions, by considering the wave function of three such fermions colliding at zero energy and zero orbital angular momentum. We derive the asymptotic expansions of such a wave function when three fermions are far apart or one pair and the third fermion
Zipeng Wang, Shina Tan
openaire +2 more sources
Complex & Intelligent Systems, 2021 When solving expensive multi-objective optimization problems, surrogate models are often used to reduce the number of true evaluations. Based on predictions from the surrogate models, promising candidate solutions, also referred to as infill solutions ...
Bing Wang +2 more
doaj +1 more source
A test problem for visual investigation of high-dimensional multi-objective search [PDF]
, 2014 An inherent problem in multiobjective optimization is that the visual observation of solution vectors with four or more objectives is infeasible, which brings major difficulties for algorithmic design, examination, and development.
Miqing Li +5 more
core +4 more sources