9 Nature-inspired Optimization Techniques
De Gruyter eBooks(2021)
摘要
The problem of optimization of target functions in machine learning plays a vital role in accelerating the learning process, so much so that mapping of knowledge on the system shows the minimum error rate. An optimization algorithm iteratively executes in a search space, to find among them, the proper solutions and compares them accordingly, until the best solution is found. We present some of the most popular optimization techniques widely used presently - ant colony optimization, particle swarm optimization, artificial bee colony and bat algorithm.
更多查看译文
关键词
Multi-Objective Optimization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要