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[HTML][HTML] Light spectrum optimizer: A novel physics-inspired metaheuristic optimization algorithm
This paper introduces a novel physical-inspired metaheuristic algorithm called “Light
Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the …
Spectrum Optimizer (LSO)” for continuous optimization problems. The inspiration for the …
OCC: An automated end-to-end machine learning optimizing compiler for computing-in-memory
Memristive devices promise an alternative approach toward non-Von Neumann
architectures, where specific computational tasks are performed within the memory devices …
architectures, where specific computational tasks are performed within the memory devices …
Genetic Programming for Explainable Manifold Learning
Manifold learning techniques play a pivotal role in machine learning by revealing lower-
dimensional embeddings within high-dimensional data, thus enhancing both the efficiency …
dimensional embeddings within high-dimensional data, thus enhancing both the efficiency …
Evolutionary algorithms in approximate computing: A survey
L Sekanina - arxiv preprint arxiv:2108.07000, 2021 - arxiv.org
In recent years, many design automation methods have been developed to routinely create
approximate implementations of circuits and programs that show excellent trade-offs …
approximate implementations of circuits and programs that show excellent trade-offs …
MODEE-LID: Multiobjective Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers
Taking levodopa, a drug used to treat symptoms of Parkinson's disease, is often connected
with severe side effects, known as Levodopa-induced dyskinesia (LID). It can fluctuate in …
with severe side effects, known as Levodopa-induced dyskinesia (LID). It can fluctuate in …
An evolved dispatching rule based scheduling approach for solving djss problem
B Xu, L Tao, X Deng, W Li - 2021 40th Chinese Control …, 2021 - ieeexplore.ieee.org
Dynamic job shop scheduling (DJSS) has been shown as a realistic and complex
combinatorial optimization problem, which is characterized by complexity, dynamics, and …
combinatorial optimization problem, which is characterized by complexity, dynamics, and …
Natural Convection Optimizer: A Novel Physics-Based Metaheuristic Optimization Algorithm
L Kang - Available at SSRN 4917694 - papers.ssrn.com
Abstract In this paper, Natural Convection Optimizer Algorithm (NCvO) is proposed as a
novel physical-inspired metaheuristic optimization algorithm. It is a novel physics-inspired …
novel physical-inspired metaheuristic optimization algorithm. It is a novel physics-inspired …