Utilization of Nature-Inspired Optimization Techniques

Nature-inspired optimization techniques (NIOTs) have emerged as a powerful tool for addressing complex optimization problems in operating systems. Inspired by natural phenomena like evolution, swarm intelligence, and biological processes, these algorithms offer innovative solutions to challenges such as resource allocation, task scheduling, and system performance optimization.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-20
DOI
https://doi.org/10.5281/zenodo.14190055
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Utilization of Nature-Inspired Optimization Techniques

Zenodo (CERN European Organization for Nuclear Research)
Distributed and Parallel Computing Systems
article

Utilization of Nature-Inspired Optimization Techniques

article en

Abstract

Nature-inspired optimization techniques (NIOTs) have emerged as a powerful tool for addressing complex optimization problems in operating systems. Inspired by natural phenomena like evolution, swarm intelligence, and biological processes, these algorithms offer innovative solutions to challenges such as resource allocation, task scheduling, and system performance optimization.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 61%
Distributed and Parallel Computing Systems
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Utilization of Nature-Inspired Optimization Techniques · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS