Pub Date : 2023-01-01DOI: 10.1504/ijbic.2023.10056898
Guangzhu Tan, Jiejie Tian, Min Gao, Shuai Zhang, Xu Wang, Biyu Yang, Linda Yang, Jiafu Su
{"title":"Joint modelling of task requirements and worker preferences based on heterogeneous features and multiple interactions for knowledge-intensive crowdsourcing recommendation","authors":"Guangzhu Tan, Jiejie Tian, Min Gao, Shuai Zhang, Xu Wang, Biyu Yang, Linda Yang, Jiafu Su","doi":"10.1504/ijbic.2023.10056898","DOIUrl":"https://doi.org/10.1504/ijbic.2023.10056898","url":null,"abstract":"","PeriodicalId":49059,"journal":{"name":"International Journal of Bio-Inspired Computation","volume":"73 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90615835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbic.2023.10056270
J. Nzige, Haoxuan Xie, M. Chen, Jiawen Fan, Fyu Wang, Weining Li
{"title":"Research on a bionic swarm intelligence algorithm and model construction of the integrated dispatching system for the rescue of disaster victims","authors":"J. Nzige, Haoxuan Xie, M. Chen, Jiawen Fan, Fyu Wang, Weining Li","doi":"10.1504/ijbic.2023.10056270","DOIUrl":"https://doi.org/10.1504/ijbic.2023.10056270","url":null,"abstract":"","PeriodicalId":49059,"journal":{"name":"International Journal of Bio-Inspired Computation","volume":"35 1","pages":"117-127"},"PeriodicalIF":3.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85826740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbic.2023.132782
Xiao Chang, Jianguang Sun
The scoring analysis method of English composition review lacks flexibility. To solve this problem, this paper proposes an analysis method based on the improved ant colony clustering algorithm, where cosine distance and Euclidean distance were combined to determine the conversion function. The empirical results show that compared with the previous standard ant colony clustering algorithm, the traditional k-means algorithm and IGKA algorithm, the improved ant colony clustering algorithm can realise the comprehensive evaluation of English composition review. It can be seen that the proposed method is reasonable and feasible, which can effectively conduct cluster analysis on English composition review, and has a higher accuracy rate of 89.33%. Therefore, in order to achieve the clustering analysis of English composition rating more precisely, the next step is to improve the ant colony clustering algorithm by repeated experiments on experimental data.
{"title":"An empirical study of improved ant colony clustering algorithm in English composition review","authors":"Xiao Chang, Jianguang Sun","doi":"10.1504/ijbic.2023.132782","DOIUrl":"https://doi.org/10.1504/ijbic.2023.132782","url":null,"abstract":"The scoring analysis method of English composition review lacks flexibility. To solve this problem, this paper proposes an analysis method based on the improved ant colony clustering algorithm, where cosine distance and Euclidean distance were combined to determine the conversion function. The empirical results show that compared with the previous standard ant colony clustering algorithm, the traditional k-means algorithm and IGKA algorithm, the improved ant colony clustering algorithm can realise the comprehensive evaluation of English composition review. It can be seen that the proposed method is reasonable and feasible, which can effectively conduct cluster analysis on English composition review, and has a higher accuracy rate of 89.33%. Therefore, in order to achieve the clustering analysis of English composition rating more precisely, the next step is to improve the ant colony clustering algorithm by repeated experiments on experimental data.","PeriodicalId":49059,"journal":{"name":"International Journal of Bio-Inspired Computation","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136028394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbic.2023.133505
Lei Kou, Jinbo Wu, Fangfang Zhang, Peng Ji, Wende Ke, Junhe Wan, Hailin Liu, Yang Li, Quande Yuan
Offshore wind power is an important part of the new power system. Due to the complex and changing situation in the oceans, its normal operation and maintenance cannot be done without information such as images; therefore, it is especially important to transmit the correct image in the process of information transmission. In this paper, we propose a new encryption algorithm for offshore wind power based on two-dimensional lagged complex logistic mapping (2D-LCLM) and Zhou Yi eight trigrams. Firstly, the initial value of the 2D-LCLM is constructed by the Sha-256 to associate the 2D-LCLM with the plaintext. Secondly, a new encryption rule is proposed from the Zhou Yi Eight Trigrams to obfuscate the pixel values and generate the round key. Then, 2D-LCLM is combined with the Zigzag to form an S-box. Finally, the simulation experiment of the algorithm is accomplished. The experimental results demonstrate that the algorithm is resistant to common attacks and has prefect encryption performance.
{"title":"Image encryption for offshore wind power based on 2D-LCLM and Zhou Yi eight trigrams","authors":"Lei Kou, Jinbo Wu, Fangfang Zhang, Peng Ji, Wende Ke, Junhe Wan, Hailin Liu, Yang Li, Quande Yuan","doi":"10.1504/ijbic.2023.133505","DOIUrl":"https://doi.org/10.1504/ijbic.2023.133505","url":null,"abstract":"Offshore wind power is an important part of the new power system. Due to the complex and changing situation in the oceans, its normal operation and maintenance cannot be done without information such as images; therefore, it is especially important to transmit the correct image in the process of information transmission. In this paper, we propose a new encryption algorithm for offshore wind power based on two-dimensional lagged complex logistic mapping (2D-LCLM) and Zhou Yi eight trigrams. Firstly, the initial value of the 2D-LCLM is constructed by the Sha-256 to associate the 2D-LCLM with the plaintext. Secondly, a new encryption rule is proposed from the Zhou Yi Eight Trigrams to obfuscate the pixel values and generate the round key. Then, 2D-LCLM is combined with the Zigzag to form an S-box. Finally, the simulation experiment of the algorithm is accomplished. The experimental results demonstrate that the algorithm is resistant to common attacks and has prefect encryption performance.","PeriodicalId":49059,"journal":{"name":"International Journal of Bio-Inspired Computation","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136092711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbic.2023.10058993
Leonardo Rodrigues
{"title":"Multi-Population SOS Algorithm for Constrained Optimization Problems Applied to Adaptive PID Controller Optimization","authors":"Leonardo Rodrigues","doi":"10.1504/ijbic.2023.10058993","DOIUrl":"https://doi.org/10.1504/ijbic.2023.10058993","url":null,"abstract":"","PeriodicalId":49059,"journal":{"name":"International Journal of Bio-Inspired Computation","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135357207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbic.2023.10058552
S. R, Shelly Shiju George
{"title":"Improved Whale Social Optimization Algorithm and deep fuzzy clustering for optimal and QoS-aware load balancing in cloud computing","authors":"S. R, Shelly Shiju George","doi":"10.1504/ijbic.2023.10058552","DOIUrl":"https://doi.org/10.1504/ijbic.2023.10058552","url":null,"abstract":"","PeriodicalId":49059,"journal":{"name":"International Journal of Bio-Inspired Computation","volume":"7 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81061624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbic.2023.10057556
R. Tharmarasa, T. Kirubarajan, Aishwaryaprajna ., J. Rowe
{"title":"UAV Path Planning in Presence of Occlusions as Noisy Combinatorial Multi-Objective Optimisation","authors":"R. Tharmarasa, T. Kirubarajan, Aishwaryaprajna ., J. Rowe","doi":"10.1504/ijbic.2023.10057556","DOIUrl":"https://doi.org/10.1504/ijbic.2023.10057556","url":null,"abstract":"","PeriodicalId":49059,"journal":{"name":"International Journal of Bio-Inspired Computation","volume":"14 2 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77874463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijbic.2023.10054864
M. Rafsanjani, S. Eskandari
{"title":"Two new selection methods and their effects on the performance of genetic algorithm in solving supply chain and traveling salesman problems","authors":"M. Rafsanjani, S. Eskandari","doi":"10.1504/ijbic.2023.10054864","DOIUrl":"https://doi.org/10.1504/ijbic.2023.10054864","url":null,"abstract":"","PeriodicalId":49059,"journal":{"name":"International Journal of Bio-Inspired Computation","volume":"18 1","pages":""},"PeriodicalIF":3.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81876142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：