Multi‐objective evolutionary optimization for hardware‐aware neural network pruning
Fundamental ResearchNeural network pruning is a popular approach to reducing the computational complexity of deep neural networks. In recent years, as growing evidence shows that conventional network pruning methods employ inappropriate proxy metrics, and as new types of ...
Wenjing Hong +4 more
doaj +1 more source
Fidelity Between Unitary Operators and the Generation of Gates Robust Against Off-Resonance Perturbations [PDF]
, 2011 We perform a functional expansion of the fidelity between two unitary matrices in order to find the necessary conditions for the robust implementation of a target gate.
Cabrera, Renan +3 more
core +1 more source
Multi-Objective Evolutionary Optimization of Aperiodic Symmetrical Linear Arrays
Journal of Telecommunications and Information Technology, 2017 In this paper, a multi-objective approach is applied to the design of aperiodic linear arrays of antennas. The adopted procedure is based on a standard Matlab implementation of the Controlled Elitist Non-Dominated Sorting Genetic Algorithm II. Broadside
Francesco Napoli
doaj +1 more source
Evolutionary Multi-objective Optimization for Multi-depot Vehicle Routing in Logistics
International Journal of Computational Intelligence Systems, 2017 Delivering goods in an efficient and cost-effective way is always a challenging problem in logistics. In this paper, the multi-depot vehicle routing is focused. To cope with the conflicting requirements, an advanced multi-objective evolutionary algorithm
Xiaowen Bi, Zeyu Han, Wallace K. S. Tang
doaj +1 more source
Speeding Up Evolutionary Multi-objective Optimisation Through Diversity-Based Parent Selection [PDF]
, 2017 Parent selection in evolutionary algorithms for multi-objective optimization is usually performed by dominance mechanisms or indicator functions that prefer non-dominated points, while the reproduction phase involves the application of diversity ...
Covantes Osuna, E. +3 more
core +1 more source
Dataset on a Benchmark for Equality Constrained Multi-objective Optimization
Data in Brief, 2020 In this Data in Brief, we provide the source code for the equality constrained multi-objective optimization benchmark problems EqDTLZ 1–4 and EqIDTLZ 1–2 proposed in the research article “A Benchmark for Equality Constrained Multi-objective Optimization”
Oliver Cuate +3 more
doaj +1 more source
MCDM, EMO and Hybrid Approaches: Tutorial and Review
Mathematical and Computational Applications, 2022 Most of the practical applications that require optimization often involve multiple objectives. These objectives, when conflicting in nature, pose both optimization as well as decision-making challenges.
Ankur Sinha, Jyrki Wallenius
doaj +1 more source
Mechanisms of parasite‐mediated disruption of brain vessels
FEBS Letters, EarlyView.Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira +3 more
wiley +1 more source
An Energy-driven Network Function Virtualization for Multi-domain Software Defined Networks
, 2019 Network Functions Virtualization (NFV) in Software Defined Networks (SDN) emerged as a new technology for creating virtual instances for smooth execution of multiple applications. Their amalgamation provides flexible and programmable platforms to utilize
Ahmed, Syed Hassan +5 more
core +1 more source
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source