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International Conference on Sustainable Materials, Manufacturing and Renewable Technologies (I-SMaRT)

作者： Joy, Jiby Rajeev, Srijith Abraham, Eldhose C. Fed Inst Sci & Technol Dept Mech Engn Ernakulam 683577 Kerala India Baselios Paulose II Catholicos Coll Dept Elect Illikkamukkada 686664 Kerala India

This paper deals with particle swarm optimization for multi resource constrained project scheduling problem with varying resource levels (MRCPSPVRL), and it is an updated version of particle swarm optimization for resource constrained project scheduling problem with varying resource levels (RCPSPVRL). In a project scheduling problem, there are many activities with certain durations and resource requests, which are connected by successor and predecessor relations. RCPSPVRL uses only one type of resource. However, in realistic project scheduling problems, different types of resources are used to solve the task. MRCPSPVRL uses various types of resources with limited availability by varying resource levels in a predetermined fashion. In MRCPSPVRL, maximum time required for completing the task is divided into different time periods, and resources are varied within these different time periods. The objective of this system is to schedule all the activities effectively by utilizing all types of resources. MRCPSPVRL is tested using PSO (Particle Swarm Optimization) on MATLAB R2020b. (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the International Conference on Sustainable materials, Manufacturing and Renewable Technologies 2021.

关键词： Particle swarm optimisation resource constrained project scheduling problem resource constrained project scheduling problem with varying resource levels

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Particle swarm optimization for multi resource constrained project scheduling problem with varying resource levels

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Materials Today: Proceedings 2021年 47卷 5125-5129页

作者： Jiby Joy Srijith Rajeev Eldhose C. Abraham Department of Mechanical Engineering Federal Institute of Science and Technology Angamaly Ernakulam Kerala 683577 India Department of Electronics Baselios Paulose II Catholicos College Kerala 686664 India

关键词： Particle swarm optimisation resource constrained project scheduling problem resource constrained project scheduling problem with varying resource levels

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