全局优化的螺旋多点搜索

2011 10th International Conference on Machine Learning and Applications and Workshops Pub Date : 2011-12-18 DOI:10.1109/ICMLA.2011.131

K. Tamura, K. Yasuda

{"title":"全局优化的螺旋多点搜索","authors":"K. Tamura, K. Yasuda","doi":"10.1109/ICMLA.2011.131","DOIUrl":null,"url":null,"abstract":"Metaheuristics is a framework of practical methods for global optimization problems. We recently proposed a new metaheuristics method inspired from spiral phenomena in nature which is called spiral optimization. However, the spiral optimization was restricted to 2-dimensional continuous optimization problems. In this paper, we develop a spiral optimization method for n-dimensional continuous optimization problems by constructing an n-dimensional spiral model. The n-dimensional spiral model is designed using rotation matrices in n-dimensional space. Simulation results for different benchmark problems show the effectiveness of our proposal compared to PSO and DE.","PeriodicalId":439926,"journal":{"name":"2011 10th International Conference on Machine Learning and Applications and Workshops","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"29","resultStr":"{\"title\":\"Spiral Multipoint Search for Global Optimization\",\"authors\":\"K. Tamura, K. Yasuda\",\"doi\":\"10.1109/ICMLA.2011.131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Metaheuristics is a framework of practical methods for global optimization problems. We recently proposed a new metaheuristics method inspired from spiral phenomena in nature which is called spiral optimization. However, the spiral optimization was restricted to 2-dimensional continuous optimization problems. In this paper, we develop a spiral optimization method for n-dimensional continuous optimization problems by constructing an n-dimensional spiral model. The n-dimensional spiral model is designed using rotation matrices in n-dimensional space. Simulation results for different benchmark problems show the effectiveness of our proposal compared to PSO and DE.\",\"PeriodicalId\":439926,\"journal\":{\"name\":\"2011 10th International Conference on Machine Learning and Applications and Workshops\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"29\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 10th International Conference on Machine Learning and Applications and Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLA.2011.131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 10th International Conference on Machine Learning and Applications and Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLA.2011.131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 29

摘要

元启发式是解决全局优化问题的实用方法框架。我们最近提出了一种新的元启发式方法，灵感来自于自然界的螺旋现象，称为螺旋优化。然而，螺旋优化仅限于二维连续优化问题。本文通过构造一个n维螺旋模型，提出了求解n维连续优化问题的螺旋优化方法。利用n维空间中的旋转矩阵设计了n维螺旋模型。不同基准问题的仿真结果表明，与粒子群算法和粒子群算法相比，本文提出的算法是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Spiral Multipoint Search for Global Optimization

Metaheuristics is a framework of practical methods for global optimization problems. We recently proposed a new metaheuristics method inspired from spiral phenomena in nature which is called spiral optimization. However, the spiral optimization was restricted to 2-dimensional continuous optimization problems. In this paper, we develop a spiral optimization method for n-dimensional continuous optimization problems by constructing an n-dimensional spiral model. The n-dimensional spiral model is designed using rotation matrices in n-dimensional space. Simulation results for different benchmark problems show the effectiveness of our proposal compared to PSO and DE.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2011 10th International Conference on Machine Learning and Applications and Workshops

自引率

0.00%

发文量