17 papers · ranked by Valyu relevance
Andreia P. Guerreiro, Carlos M. Fonseca, Luís Paquete
The hypervolume indicator is one of the most used set-quality indicators for the assessment of stochastic multiobjective optimizers, as well as for selection in evolutionary multiobjective optimization algorithms. Its theoretical properties justify its wide acceptance, particularly the strict monotonicity with respect…
Muyang Lu, Kevin Winner, Walter Jetz
The quantification of Hutchison’s n-dimensional hypervolume has enabled substantial progress in community ecology, species niche analysis and beyond. While non-parametric methods for quantifying and comparing hypervolumes are popular, they do not support a partitioning of the different components and drivers of…
Ke Shang, Weiyu Chen, Weiduo Liao, Hisao Ishibuchi
—In this letter, we propose HV-Net, a new method for hypervolume approximation in evolutionary multi-objective optimization. The basic idea of HV-Net is to use DeepSets, a deep neural network with permutation invariant property, to approximate the hypervolume of a non-dominated solution set. The input of HV-Net is a…
D. T. C. Cox, A. S. Gardner, K. J. Gaston
Mammalian life shows huge diversity, but most groups remain nocturnal in their activity pattern. A key unresolved question is whether mammal species that have diversified into different diel niches occupy unique regions of functional trait space. For 5,104 extant mammals we show here that daytime-active species…
José Carlos Carvalho, Pedro Cardoso
1. Hutchinson’s n-dimensional hypervolume concept holds a central role across different fields of ecology and evolution. The question of the amount of hyper-volume overlap and differentiation between species is of great interest to understand the processes that drive niche dynamics, competitive interactions and…
Susan G. Jarvis, Peter A. Henrys, Aidan M. Keith, Ellie Mackay + 2 more
'Susan E. Ward' 'Simon M. Smart'] Title: Abstract Developing a holistic understanding of the ecosystem impacts of global change requires methods that can quantify the interactions among multiple response variables. One approach is to generate high dimensional spaces, or hypervolumes, to answer ecological questions in a…
Ke Shang, Hisao Ishibuchi, Xizi Ni, Min-Ling Zhang
—In this letter, a new hypervolume contribution approximation method is proposed which is formulated as an R2 indicator. The basic idea of the proposed method is to use different line segments only in the hypervolume contribution region for the hypervolume contribution approximation. Comparing with a traditional method…
Marcelo F. Rego, Júlio Cesar E.M. Pinto, Luciano P. Cota, Marcone J.F. Souza + 1 more
'Marcone J.F. Souza' 'Mehmet Cunkas'] In many countries, there is an energy pricing policy that varies according to the time-of-use. In this context, it is financially advantageous for the industries to plan their production considering this policy. This article introduces a new bi-objective unrelated parallel machine…
Stefano Mammola, Pedro Cardoso
The use of kernel density n-dimensional hypervolumes [Global Ecol. Biogeogr. 23(5):595–609] in trait-based ecology is rapidly increasing. By representing the functional space of a species or community as a Hutchinsonian niche space, this relatively new approach is showing great potential for the advance of functional…
Jim Boelrijk, Bernd Ensing, Patrick Forré
Optimizing multiple competing objectives is a common problem across science and industry. The inherent inextricable trade-off between those objectives leads one to the task of exploring their Pareto front. A meaningful quantity for the purpose of the latter is the hypervolume indicator, which is used in Bayesian…
Claudio Angione, Pietro Lió
Bacterial phenotypic traits and lifestyles in response to diverse environmental conditions depend on changes in the internal molecular environment. However, predicting bacterial adaptability is still difficult outside of laboratory controlled conditions. Many molecular levels can contribute to the adaptation to a…
Sophie Monsarrat, Peter Novellie, Ian Rushworth, Graham Kerley
Setting appropriate conservation measures to halt the loss of biodiversity requires a good understanding of species’ habitat requirements and potential distribution. Recent (past few decades) ecological data are typically used to estimate and understand species’ ecological niche. However, historical local extinctions…
Fernanda S. Caron, David F. R. P. Burslem, Juliano Morimoto
The niche is a fundamental concept in ecology. One way to represent the niche is to use multidimensional geometry known as the Hutchinsonian niche hypervolume. However, hypervolume data are complex and the biological significance of niche hypervolume properties needs to be better understood. Here, we conducted for the…
Andrzej Jaszkiewicz
In this paper, we present a significant improvement of the Quick Hypervolume algorithm, one of the state-of-the-art algorithms for calculating the exact hypervolume of the space dominated by a set of d-dimensional points. This value is often used as the quality indicator in the multiobjective evolutionary algorithms…
Andre KY Low, Flore Mekki-Berrada, Aleksandr Ostudin, Jiaxun Xie + 7 more
The development of automated high-throughput experimental platforms has enabled fast sampling of high-dimensional decision spaces. To reach target properties efficiently, these platforms are increasingly paired with intelligent experimental design. When solving optimization problems, Bayesian-based optimizers are often…
Jiyizhe Zhang, Daria Semochkina, Naoto Sugisawa, David Woods + 1 more
Multi-objective Bayesian optimization (MOBO) has shown to be a promising tool for reaction development. However, noise is usually unavoidable during experiments and makes it challenging to find reliable solutions. In this study, we focus on finding a set of optimal reaction conditions using multi-objective Euclidian…
Authors not listed
Zero- to ultralow-field (ZULF) NMR promises chemical sensing with portable devices, but weak thermal polarization and low natural isotopic abundance of heteronuclei limit its sensitivity. Here we combine Signal Amplification by Reversible Exchange (SABRE) and SABRE-relay with in situ ZULF NMR detection, and introduce…