Results 191 to 200 of about 6,211,864 (316)

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

A multiobjective human evolutionary optimization algorithm for complex engineering problems. [PDF]

Sci Rep
Tarunika D, Sharma A.
europepmc   +1 more source

MOEA/D‐based multi‐row facility layout optimisation method with discontinuity perceiving of the Pareto front

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract In a multi‐row facility layout problem (MRFLP), facilities are arranged in more than one row under the limited layout area. Considering different layout factors, various extensions of MRFLP have been modelled. However, the orientation of input/output (I/O) point in a facility, as a key factor that plays a direct impact on flow cost, is seldom ...
Yinan Guo, Yao Huang, Jian Cheng, Xiaoyu Ban, Xiaoxiao Zhao, Tianyu Liu   +5 more
wiley   +1 more source

Lévy Diffusion Under Power-Law Stochastic Resetting. [PDF]

Entropy (Basel)
Liu J, Li Y, Marchesoni F.
europepmc   +1 more source

Multi‐Objective Optimisation Framework for Heterogeneous Federated Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Federated learning is a distributed framework that trains a centralised model using data from multiple clients without transferring that data to a central server. Despite rapid progress, federated learning still faces several unsolved challenges. Specifically, communication costs and system heterogeneity, such as nonidentical data distribution,
Jamshid Tursunboev, Vikas Palakonda, Il‐Min Kim, Sunghwan Moon, Jae‐Mo Kang   +4 more
wiley   +1 more source

Adaptive Policy Switching for Multi-Agent ASVs in Multi-Objective Aquatic Cleaning Environments. [PDF]

Sensors (Basel)
Seck D, Yanes-Luis S, Perales-Esteve M, Marín ST, Gutiérrez-Reina D.   +4 more
europepmc   +1 more source

Adaptive airspace allocation model for urban drone logistics using multi-objective optimization under uncertainty. [PDF]

Sci Rep
Zhu Y, Sun X, Hou T.
europepmc   +1 more source

Machine learning-driven multi-objective optimization of straight-blade paddle mixers for efficient mixing in melt-cast explosives systems. [PDF]

Sci Rep
Li C, Wang J, Meng J, Luo Y.
europepmc   +1 more source

- Multivariate Pareto distributions [PDF]

, 2015
openaire   +1 more source

Cohorts of immature Pteropus bats show interannual variation in Hendra virus serology

Journal of Animal Ecology, EarlyView.
Pteropus bat with offspring, photo taken by Manuel Ruiz‐Aravena. Abstract Understanding the drivers of seasonal disease outbreaks remains a fundamental challenge in disease ecology. Periodic outbreaks can be driven by several seasonally varying factors, including pulses of susceptible individuals through births, changes in host behaviour and social ...
Daniel E. Crowley, Caylee A. Falvo, Chris K. Grant, Benny Borremans, Tamika J. Lunn, Manuel Ruiz‐Aravena, Evelyn Benson, Clifton D. McKee, Daniel J. Becker, Devin N. Jones, Trenton Bushmaker, Y. Tina Yu, Michelle Michie, Adrienne S. Dale, Lianying Yan, Spencer L. Sterling, Christopher C. Broder, Laura B. Goodman, Rasa Petraityte‐Burneikiene, Eric D. Laing, Ina L. Smith, Vincent J. Munster, Agnieszka Rynda‐Apple, Alison J. Peel, Raina Plowright   +24 more
wiley   +1 more source