{"title":"两台并联机床上模具约束的近似最优解","authors":"Abir Ben Hmida, M. Jemmali","doi":"10.24846/v31i1y202207","DOIUrl":null,"url":null,"abstract":": This paper investigates the mold constraints for the two parallel machines problem. The goal is to minimize the makespan. The resource constraint can be defined as a mold. This constraint is also defined as jobs with conflict. Two jobs can’t be executed by the two machines simultaneously. The problem is proved to be a non-deterministic polynomial NP-hard one. Different heuristics have been proposed in this paper to solve the studied problem. A novel meta-heuristics algorithm is developed to enhance the proposed heuristics. The computational results and discussions show the performance of the proposed solutions. A different class of instances is implemented to test the proposed heuristics. The results show that the developed heuristics reaches the optimal solution in 96.4% of instances. Therefore, the obtained results represent near- optimal solutions for the studied problem.","PeriodicalId":49466,"journal":{"name":"Studies in Informatics and Control","volume":" ","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Near-Optimal Solutions for Mold Constraints on Two Parallel Machines\",\"authors\":\"Abir Ben Hmida, M. Jemmali\",\"doi\":\"10.24846/v31i1y202207\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": This paper investigates the mold constraints for the two parallel machines problem. The goal is to minimize the makespan. The resource constraint can be defined as a mold. This constraint is also defined as jobs with conflict. Two jobs can’t be executed by the two machines simultaneously. The problem is proved to be a non-deterministic polynomial NP-hard one. Different heuristics have been proposed in this paper to solve the studied problem. A novel meta-heuristics algorithm is developed to enhance the proposed heuristics. The computational results and discussions show the performance of the proposed solutions. A different class of instances is implemented to test the proposed heuristics. The results show that the developed heuristics reaches the optimal solution in 96.4% of instances. Therefore, the obtained results represent near- optimal solutions for the studied problem.\",\"PeriodicalId\":49466,\"journal\":{\"name\":\"Studies in Informatics and Control\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2022-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Studies in Informatics and Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.24846/v31i1y202207\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studies in Informatics and Control","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.24846/v31i1y202207","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Near-Optimal Solutions for Mold Constraints on Two Parallel Machines
: This paper investigates the mold constraints for the two parallel machines problem. The goal is to minimize the makespan. The resource constraint can be defined as a mold. This constraint is also defined as jobs with conflict. Two jobs can’t be executed by the two machines simultaneously. The problem is proved to be a non-deterministic polynomial NP-hard one. Different heuristics have been proposed in this paper to solve the studied problem. A novel meta-heuristics algorithm is developed to enhance the proposed heuristics. The computational results and discussions show the performance of the proposed solutions. A different class of instances is implemented to test the proposed heuristics. The results show that the developed heuristics reaches the optimal solution in 96.4% of instances. Therefore, the obtained results represent near- optimal solutions for the studied problem.
期刊介绍:
Studies in Informatics and Control journal provides important perspectives on topics relevant to Information Technology, with an emphasis on useful applications in the most important areas of IT.
This journal is aimed at advanced practitioners and researchers in the field of IT and welcomes original contributions from scholars and professionals worldwide.
SIC is published both in print and online by the National Institute for R&D in Informatics, ICI Bucharest. Abstracts, full text and graphics of all articles in the online version of SIC are identical to the print version of the Journal.