A Comparative Study on Nature Inspired Optimization Algorithms to Solve Real World Problems- A Survey

Optimization plays a vital role in science and engineering. Nonlinear problems demand optimized solutions, traditional Algorithms fail to solvethese kinds of problems. A Recent trend is to use Nature Inspired optimization Algorithms due to their adaptability and effectiveness. Nature itself gives many optimized solutions for solving real world problems. The main objective of using optimization Algorithms is to minimize the cost, energy consumption and maximize the effectiveness, maintenance and execution. This paper reviews the various nature Inspired optimization Algorithms used to solve optimization problems.

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Published
2024-09-18
DOI
https://doi.org/10.1109/icosec61587.2024.10722062
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
Field-Weighted Citation Impact
0.00
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A Comparative Study on Nature Inspired Optimization Algorithms to Solve Real World Problems- A Survey

Daniel Madan Raja S, A. Bharathi, M. Karthiga, P Ponnila
Metaheuristic Optimization Algorithms Research
article

A Comparative Study on Nature Inspired Optimization Algorithms to Solve Real World Problems- A Survey

Daniel Madan Raja S, A. Bharathi, M. Karthiga, P Ponnila
article en

Abstract

Optimization plays a vital role in science and engineering. Nonlinear problems demand optimized solutions, traditional Algorithms fail to solvethese kinds of problems. A Recent trend is to use Nature Inspired optimization Algorithms due to their adaptability and effectiveness. Nature itself gives many optimized solutions for solving real world problems. The main objective of using optimization Algorithms is to minimize the cost, energy consumption and maximize the effectiveness, maintenance and execution. This paper reviews the various nature Inspired optimization Algorithms used to solve optimization problems.

Karunya University (IN)
Openalex Percentile: Top 83%
Metaheuristic Optimization Algorithms Research
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