Jaya R包无需调参，高效解决单/多目标优化问题
Jaya R Package -- A Parameter-Free Solution for Advanced Single and Multi-Objective Optimization
- 无需调参的自适应优化算法，支持约束和并行计算
- 在能源建模中实现碳排放、成本与可靠性的协同优化
- 适合科研与工程界需快速求解复杂优化问题的用户
Jaya R包提供了参数自由的Jaya优化算法的稳健且多功能实现，适用于单目标与多目标优化问题。通过集成约束处理、自适应种群管理、多目标权衡的帕累托前沿追踪以及并行计算以提升效率，该包可应对各类优化挑战。其直观设计与灵活性使用户能解决跨领域的复杂实际问题。案例研究以能源建模为例，优化可再生能源占比，成功实现碳排放与成本最小化，同时提升系统可靠性。Jaya R包是研究人员与实践者寻求高效自适应优化方案的宝贵工具。
原文摘要 · Abstract (English)
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.
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