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.
Authors
- Ankeshwarapu Sunil (ORCID: https://orcid.org/0000-0003-1972-1126)
- C. Vyjayanthi
- Ch. Venkaiah
Institutions
- National Institute of Technology Warangal (IN)
- National Institute of Technology Goa (IN)
Publication Details
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1109/icepe65965.2025.11139612
- Primary Topic
- Educational Technology and Assessment
- Type
- article
- Field-Weighted Citation Impact
- 0.00