A MATLAB Code for Adaptive Fuzzy Campus Placement based Optimization Algorithm

This paper presents a MATLAB code for Adaptive Fuzzy Campus Placement based Optimization Algorithm (AFCPOA), a novel approach designed to address the solutions to single and multi-objective optimization problems. Inspired by campus placement process for hiring students by visiting companies, AFCPOA integrates fuzzy logic principles with adaptive techniques to optimize the matching of candidates’ skills and preferences with available job positions, considering diverse criteria such as academic performance, skill proficiency, and job requirements. The paper provides an in-depth explanation of AFCPOA’s principles, including step-by-step calculations for single-variable minimization functions and implementation details for solving engineering optimization problems, such as economic load dispatch. Illustrative examples are provided to demonstrate the application of AFCPOA, and MATLAB code is included to facilitate implementation. This paper serves as a valuable resource for researchers, practitioners, and educators seeking to understand and implement AFCPOA.

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Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/icepe65965.2025.11139612
Primary Topic
Educational Technology and Assessment
Type
article
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article

A MATLAB Code for Adaptive Fuzzy Campus Placement based Optimization Algorithm

Ankeshwarapu Sunil, C. Vyjayanthi, Ch. Venkaiah
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Educational Technology and Assessment
article

A MATLAB Code for Adaptive Fuzzy Campus Placement based Optimization Algorithm

Ankeshwarapu Sunil, C. Vyjayanthi, Ch. Venkaiah
article en

Abstract

This paper presents a MATLAB code for Adaptive Fuzzy Campus Placement based Optimization Algorithm (AFCPOA), a novel approach designed to address the solutions to single and multi-objective optimization problems. Inspired by campus placement process for hiring students by visiting companies, AFCPOA integrates fuzzy logic principles with adaptive techniques to optimize the matching of candidates’ skills and preferences with available job positions, considering diverse criteria such as academic performance, skill proficiency, and job requirements. The paper provides an in-depth explanation of AFCPOA’s principles, including step-by-step calculations for single-variable minimization functions and implementation details for solving engineering optimization problems, such as economic load dispatch. Illustrative examples are provided to demonstrate the application of AFCPOA, and MATLAB code is included to facilitate implementation. This paper serves as a valuable resource for researchers, practitioners, and educators seeking to understand and implement AFCPOA.

National Institute of Technology Warangal (IN), National Institute of Technology Goa (IN)
Openalex Percentile: Top 65%
Educational Technology and Assessment
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A MATLAB Code for Adaptive Fuzzy Campus Placement based Optimization Algorithm — Ankeshwarapu Sunil, C. Vyjayanthi, et al. · (2025) | TGRS Research Map | TGRS