CONTOPT-JS:基于元启发式算法的连续优化问题JavaScript软件库

O. Gokalp, Aybars Uğur, Sema Bodur
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引用次数: 0

摘要

在本研究中,开发了一个名为CONTOPT-JS的软件库,用于解决连续优化问题。通过使用这个基于JavaScript语言的库,可以开发完整的客户端web应用程序。库中存在人工蜂群、差分进化、粒子群优化和进化策略等元启发式算法,由于其模块化设计,可以增加新的算法和新的问题。利用CONTOPT-JS库,对一些标准优化基准函数和传感器部署应用领域进行了实验工作,并给出了实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CONTOPT-JS: Metaheuristic Algorithms based JavaScript Software Library for Continuous Optimization Problems
In this study, a software library called CONTOPT-JS has been developed for solving continuous optimization problems. By using this JavaScript language based library, fully client-side web applications can be developed. In the library, Artificial Bee Colony, Differential Evolution, Particle Swarm Optimization and Evolution Strategies metaheuristics exist and new algorithms and new problems can be added because of its modular design. Using the CONTOPT-JS library, experimental works have been conducted on some standard optimization benchmark functions and Sensor Deployment application area and the obtained results have been presented.
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