{"title":"A Pyramidal Evolutionary Algorithm with Different Inter-Agent Partnering Strategies for Scheduling Problems","authors":"U. Aickelin","doi":"10.2139/ssrn.2832055","DOIUrl":"https://doi.org/10.2139/ssrn.2832055","url":null,"abstract":"This paper combines the idea of a hierarchical distributed genetic algorithm with different interagent partnering strategies. Cascading clusters of sub-populations are built from bottom up, with higher-level sub-populations optimising larger parts of the problem. Hence higher-level subpopulations search a larger search space with a lower resolution whilst lower-level subpopulations search a smaller search space with a higher resolution. The effects of different partner selection schemes amongst the agents on solution quality are examined for two multiplechoice optimisation problems. It is shown that partnering strategies that exploit problemspecific knowledge are superior and can counter inappropriate (sub-) fitness measurements.","PeriodicalId":374055,"journal":{"name":"Scheduling eJournal","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115951358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. W. Wang, S. Sethi, C. Sriskandarajah, S. van de Velde
{"title":"Minimizing Makespan in Flowshops with Pallet Requirements: Computational Complexity","authors":"M. W. Wang, S. Sethi, C. Sriskandarajah, S. van de Velde","doi":"10.1080/03155986.1997.11732335","DOIUrl":"https://doi.org/10.1080/03155986.1997.11732335","url":null,"abstract":"We establish the computational complexity of the problem of minimizing makespan in a flowshop, where each jobs requires a pallet the entire time, from the start of its first operation until the completion of the last operation. We prove that the problem is NP-hard in the strong sense for m > =2 and K >= 3, and for m > =3 and K >= 2, where m is the number of machines and K is the number of pallets in the system.","PeriodicalId":374055,"journal":{"name":"Scheduling eJournal","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126851320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multiple Finite Production Rate Dynamic Lot Size Inventory Models","authors":"S. Sethi, S. Chand","doi":"10.1287/opre.29.5.931","DOIUrl":"https://doi.org/10.1287/opre.29.5.931","url":null,"abstract":"This paper investigates the dynamic inventory model for the case when production in a period is restricted to a finite set of specified values. The model allows the production rate to be any value in the set {0, P, 2P, ', mP}, where m is a nonnegative integer. It is assumed that the setup cost is paid only once for a production block and the holding cost is monotonically or linearly increasing. Efficient planning horizon procedures have been developed for this model.","PeriodicalId":374055,"journal":{"name":"Scheduling eJournal","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1979-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116888990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Order Acceptance and Scheduling in a Single-Machine Environment: Exact and Heuristic Algorithms","authors":"F. T. Nobibon, Jade Herbots, R. Leus","doi":"10.2139/ssrn.1472957","DOIUrl":"https://doi.org/10.2139/ssrn.1472957","url":null,"abstract":"In this paper, we develop exact and heuristic algorithms for the order acceptance and scheduling problem in a single-machine environment. We consider the case where a pool consisting of firm planned orders as well as potential orders is available from which an over-demanded company can select. The capacity available for processing the accepted orders is limited and orders are characterized by known processing times, delivery dates, revenues and the weight representing a penalty per unit-time delay beyond the delivery date promised to the customer. We prove the non-approximability of the problem and give two linear formulations that we solve with CPLEX. We devise two exact branch-and-bound procedures able to solve problem instances of practical dimensions. For the solution of large instances, we propose six heuristics. We provide a comparison and comments on the efficiency and quality of the results obtained using both the exact and heuristic algorithms, including the solution of the linear formulations using CPLEX.","PeriodicalId":374055,"journal":{"name":"Scheduling eJournal","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122139867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}