Improving dendritic neuron model with dynamic scale-free network-based differential evolution
Some recent research reports that a dendritic neuron model (DNM) can achieve better
performance than traditional artificial neuron networks (ANNs) on classification, prediction …
performance than traditional artificial neuron networks (ANNs) on classification, prediction …
Identifying influential spreaders in social networks through discrete moth-flame optimization
Influence maximization in a social network refers to the selection of node sets that support
the fastest and broadest propagation of information under a chosen transmission model. The …
the fastest and broadest propagation of information under a chosen transmission model. The …
Coevolution of epidemic and infodemic on higher-order networks
W Li, M Cai, X Zhong, Y Liu, T Lin, W Wang - Chaos, Solitons & Fractals, 2023 - Elsevier
Gathering events, eg, going to gyms and meetings, are ubiquitous and crucial in the
spreading phenomena, which induce higher-order interactions, and thus can be described …
spreading phenomena, which induce higher-order interactions, and thus can be described …
Fast and accurate mining the community structure: integrating center locating and membership optimization
Mining communities or clusters in networks is valuable in analyzing, designing, and
optimizing many natural and engineering complex systems, eg, protein networks, power …
optimizing many natural and engineering complex systems, eg, protein networks, power …
Scale-free network-based differential evolution to solve function optimization and parameter estimation of photovoltaic models
Some recent research reveals that a topological structure in meta-heuristic algorithms can
effectively enhance the interaction of population, and thus improve their performances …
effectively enhance the interaction of population, and thus improve their performances …
Assessing evolutionary and developmental transcriptome dynamics in homologous cell types
C Feregrino, P Tschopp - Developmental Dynamics, 2022 - Wiley Online Library
Background During development, complex organ patterns emerge through the precise
temporal and spatial specification of different cell types. On an evolutionary timescale, these …
temporal and spatial specification of different cell types. On an evolutionary timescale, these …
Research on supply network resilience considering the ripple effect with collaboration
X Shi, X Yuan, D Deng - International Journal of Production …, 2022 - Taylor & Francis
Local disruptions can be propagated from one firm to another in a supply network (SN) and
eventually influence the whole SN. Therefore, numerous studies on SN resilience …
eventually influence the whole SN. Therefore, numerous studies on SN resilience …
Research on the robustness of interdependent supply networks with tunable parameters
X Shi, D Deng, W Long, Y Li, X Yu - Computers & Industrial Engineering, 2021 - Elsevier
A supply network is considered robust when it can maintain operations and connectedness
despite disruptions, and building robust supply networks is one of the challenges in supply …
despite disruptions, and building robust supply networks is one of the challenges in supply …
Multi-population genetic algorithm with ER network for solving flexible job shop scheduling problems
X Shi, W Long, Y Li, D Deng - PloS one, 2020 - journals.plos.org
A genetic algorithm (GA) cannot always avoid premature convergence, and multi-population
is usually used to overcome this limitation by dividing the population into several sub …
is usually used to overcome this limitation by dividing the population into several sub …
Robustness of single and interdependent scale-free interaction networks with various parameters
The robustness of scale-free networks has attracted increasing attentions recently. It has
been shown that scale-free networks are tolerant to random failures but fragile under …
been shown that scale-free networks are tolerant to random failures but fragile under …