Nature Inspired Methods and Their Industry Applications—Swarm Intelligence Algorithms 论文
2017IEEE Transactions on Industrial Informatics引用 252
Metaheuristic Optimization Algorithms ResearchAdvanced Algorithms and ApplicationsArtificial Immune Systems Applications
详细信息
- 发表期刊/会议
- IEEE Transactions on Industrial Informatics
- 发表日期
- 2017-12-25
- 发表年份
- 2017
关键词
Metaheuristic Optimization Algorithms ResearchAdvanced Algorithms and ApplicationsArtificial Immune Systems Applications
摘要
In this paper, we present the swarm intelligence (SI) concept and mention some metaheuristics belonging to the SI. We present the particle swarm optimization (PSO) algorithm and the ant colony optimization (ACO) method as the representatives of the SI approach. In recent years, researchers are eager to develop and apply a variety of these two methods, despite the development of many other newer methods as Bat or FireFly algorithms. Presenting the PSO and ACO we put their pseudocode, their properties, and intuition lying behind them. Next, we focus on their real-life applications, indicating many papers presented varieties of basic algorithms and the areas of their applications.