Jaya R Package -- A Parameter-Free Solution for Advanced Single and Multi-Objective Optimization

TL;DR

The Jaya R package provides a versatile, parameter-free optimization tool capable of handling complex single and multi-objective problems with advanced features like constraint handling, Pareto tracking, and parallel processing.

Contribution

It introduces a comprehensive R package implementing the parameter-free Jaya algorithm with new features for constraint management and multi-objective optimization.

Findings

Successfully optimized renewable energy shares in a case study.

Demonstrated efficiency and adaptability in real-world problems.

Enhanced optimization performance with parallel processing.

Abstract

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.