Jaya R Package -- A Parameter-Free Solution for Advanced Single and Multi-Objective Optimization
This provides an incremental software solution for researchers and practitioners needing efficient optimization in various domains.
The paper introduces the Jaya R package, a parameter-free optimization tool for single and multi-objective problems, and demonstrates its utility in an energy modeling case study by optimizing renewable energy shares to reduce carbon emissions and costs while improving reliability.
The Jaya R package offers a robust and versatile implementation of the parameter-free Jaya optimization algorithm, suitable for solving both single-objective and multi-objective optimization problems. By integrating advanced features such as constraint handling, adaptive population management, Pareto front tracking for multi-objective trade-offs, and parallel processing for computational efficiency, the package caters to a wide range of optimization challenges. Its intuitive design and flexibility allow users to solve complex, real-world problems across various domains. To demonstrate its practical utility, a case study on energy modeling explores the optimization of renewable energy shares, showcasing the package's ability to minimize carbon emissions and costs while enhancing system reliability. The Jaya R package is an invaluable tool for researchers and practitioners seeking efficient and adaptive optimization solutions.