Results 101 to 110 of about 8,528 (188)

Niche Differentiation and Prey Selectivity among Common Bottlenose Dolphins (Tursiops truncatus) Sighted in St. George Sound, Gulf of Mexico

Frontiers in Marine Science, 2017
Two groups of common bottlenose dolphins (Tursiops truncatus) have been identified within St. George Sound, Florida, USA: high site-fidelity individuals (HSF) which are individuals sighted multiple times in the region (i.e., ≥2 months, ≥2 seasons, and ≥2
Rachel M. Wilson, Reny B. Tyson, James A. Nelson, Brian C. Balmer, Brian C. Balmer, Brian C. Balmer, Jeffrey P. Chanton, Douglas P. Nowacek   +7 more
doaj   +1 more source

Approximation quality of the hypervolume indicator

Artificial Intelligence, 2013
AbstractIn order to allow a comparison of (otherwise incomparable) sets, many evolutionary multi-objective optimizers use indicator functions to guide the search and to evaluate the performance of search algorithms. The most widely used indicator is the hypervolume indicator.
Bringmann, Karl, Friedrich, Tobias
openaire   +1 more source

The impact of functional selectivity by fisheries on the fish fauna of Abrolhos Bank

Ocean and Coastal Research
Functional diversity (FD) is one of the aspects of biodiversity that can best represent eventual changes in the environment. Marine Protected Areas (MPAs) can be used to minimize the potential impacts of fishing on fish stocks.
Claudio M. Pierard, Florian Meirer, Erik van Sebille   +2 more
doaj   +1 more source

Multi-objective recommendation system utilizing a multi-population knowledge migration framework

Complex & Intelligent Systems
Traditional recommendation systems tend to focus on accuracy and prefer recommending popular items, resulting in non-popular items rarely being exposed to users. However, recommending non-popular items to enhance users’ novelty experience is also crucial.
Liang Chu, Ye Tian
doaj   +1 more source

Ants in space and time: Spatiotemporal niche changes facilitate species coexistence in semi-natural ecosystem complexes

Global Ecology and Conservation
Semi-natural farming systems with high conservation value offer a valuable opportunity to meet biodiversity conservation goals without compromising agricultural production.
Ádám Lőrincz, Bonita Ratkai, Csaba Tölgyesi, Gábor Lőrinczi, Kata Anna Bán, Kata Frei, Tamás Jégh, Zoltán Bátori, István Elek Maák   +8 more
doaj   +1 more source

Evolution-guided Bayesian optimization for constrained multi-objective optimization in self-driving labs

npj Computational Materials
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 ...
Andre K. Y. Low, Flore Mekki-Berrada, Abhishek Gupta, Aleksandr Ostudin, Jiaxun Xie, Eleonore Vissol-Gaudin, Yee-Fun Lim, Qianxiao Li, Yew Soon Ong, Saif A. Khan, Kedar Hippalgaonkar   +10 more
doaj   +1 more source

Variational quantum multiobjective optimization

Physical Review Research
Solving combinatorial optimization problems on near-term quantum devices has gained a lot of attention in recent years. Currently, most studies have focused on single-objective problems, whereas many real-world applications need to consider multiple ...
Linus Ekstrom, Hao Wang, Sebastian Schmitt   +2 more
doaj   +1 more source

Hypervolume-Based Multi-Objective Optimization Method Applying Deep Reinforcement Learning to the Optimization of Turbine Blade Shape

AI
A multi-objective turbine shape optimization method based on deep reinforcement learning (DRL) is proposed. DRL-based optimization methods are useful for repeating optimization tasks that arise in applications such as the design of turbines and ...
Kazuo Yonekura, Ryusei Yamada, Shun Ogawa, Katsuyuki Suzuki   +3 more
doaj   +1 more source

Gradient-enhanced evolutionary multi-objective optimization (GEEMOO): Balancing relevance, learning outcomes, and diversity in educational recommendation systems

Intelligent Systems with Applications
The increasing complexity of educational recommendation systems, driven by the need to balance content relevance, learning outcomes, and diversity, demands advanced optimization solutions that overcome the limitations of traditional methods.
Youssef Jdidou, Souhaib Aammou, Hicham Er-radi, Ilias Aarab   +3 more
doaj   +1 more source

Accelerated development of multi-component alloys in discrete design space using Bayesian multi-objective optimisation

Machine Learning: Science and Technology
Bayesian optimisation (BO) protocols grounded in active learning (AL) principles have gained significant recognition for their ability to efficiently optimize black-box objective functions.
Osman Mamun, Markus Bause, Bhuiyan Shameem Mahmood Ebna Hai   +2 more
doaj   +1 more source