{"title":"A game-theoretic cooperative path planning strategy using hybrid heuristic optimization algorithm","authors":"Yutong Zhu, Ye Zhang","doi":"10.1049/cth2.12766","DOIUrl":null,"url":null,"abstract":"<p>A novel method based on game theory and LCD-SCA optimization algorithm is proposed for solving the cooperative path planning challenge for multiple UAVs in a desired formation configuration. The cooperative path planning problem is solved by identifying the optimal strategy for the Stackelberg-Nash game. The conventional sine-cosine algorithm method is enhanced by incorporating linear differential decrement, chaos theory, and differential evolution, and the proposed heuristic method is integrated into the path planning problem. An optimal strategy for finding the game by minimising the global cost function via the heuristic method is integrated. Extensive simulation and comparison results are provided to evaluate the performance through simulation, compared with the previous work on path planning.</p>","PeriodicalId":50382,"journal":{"name":"IET Control Theory and Applications","volume":"19 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/cth2.12766","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Control Theory and Applications","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/cth2.12766","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
A novel method based on game theory and LCD-SCA optimization algorithm is proposed for solving the cooperative path planning challenge for multiple UAVs in a desired formation configuration. The cooperative path planning problem is solved by identifying the optimal strategy for the Stackelberg-Nash game. The conventional sine-cosine algorithm method is enhanced by incorporating linear differential decrement, chaos theory, and differential evolution, and the proposed heuristic method is integrated into the path planning problem. An optimal strategy for finding the game by minimising the global cost function via the heuristic method is integrated. Extensive simulation and comparison results are provided to evaluate the performance through simulation, compared with the previous work on path planning.
期刊介绍：
IET Control Theory & Applications is devoted to control systems in the broadest sense, covering new theoretical results and the applications of new and established control methods. Among the topics of interest are system modelling, identification and simulation, the analysis and design of control systems (including computer-aided design), and practical implementation. The scope encompasses technological, economic, physiological (biomedical) and other systems, including man-machine interfaces.
Most of the papers published deal with original work from industrial and government laboratories and universities, but subject reviews and tutorial expositions of current methods are welcomed. Correspondence discussing published papers is also welcomed.
Applications papers need not necessarily involve new theory. Papers which describe new realisations of established methods, or control techniques applied in a novel situation, or practical studies which compare various designs, would be of interest. Of particular value are theoretical papers which discuss the applicability of new work or applications which engender new theoretical applications.
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